Triple
T11878997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog on the Tuckerbox monument |
E282604
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
folk song "Where the Dog Sits on the Tuckerbox"
"Where the Dog Sits on the Tuckerbox" is an Australian folk song celebrating a legendary loyal dog associated with early bullock drivers, which inspired the famous Dog on the Tuckerbox monument near Gundagai, New South Wales.
|
E951938
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: folk song "Where the Dog Sits on the Tuckerbox" | Statement: [Dog on the Tuckerbox monument, basedOn, folk song "Where the Dog Sits on the Tuckerbox"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: folk song "Where the Dog Sits on the Tuckerbox" Context triple: [Dog on the Tuckerbox monument, basedOn, folk song "Where the Dog Sits on the Tuckerbox"]
-
A.
traditional song "Honeycomb"
The traditional song "Honeycomb" is a folk-style tune best known for inspiring Jimmie Rodgers’ 1957 pop hit of the same name, characterized by its simple, catchy melody and romantic, homespun lyrics.
-
B.
song "Black Mountain Rag"
"Black Mountain Rag" is a fast-paced traditional American fiddle tune popularized in the flatpicking guitar style by Doc Watson.
-
C.
Ukrainian folk song "Spin, O My Spinner"
The Ukrainian folk song "Spin, O My Spinner" is a traditional lyrical tune whose melody has been incorporated into classical works, notably serving as thematic material in symphonic compositions.
-
D.
song "Tennessee Stud"
"Tennessee Stud" is a classic American country and folk song, widely popularized by Doc Watson’s influential recording.
-
E.
song "Coward of the County"
"Coward of the County" is a 1979 country song by Kenny Rogers that tells the story of a peaceful man forced to confront a violent local gang known as the Gatlin Boys after they assault his beloved.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: folk song "Where the Dog Sits on the Tuckerbox" Triple: [Dog on the Tuckerbox monument, basedOn, folk song "Where the Dog Sits on the Tuckerbox"]
Generated description
"Where the Dog Sits on the Tuckerbox" is an Australian folk song celebrating a legendary loyal dog associated with early bullock drivers, which inspired the famous Dog on the Tuckerbox monument near Gundagai, New South Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: folk song "Where the Dog Sits on the Tuckerbox" Target entity description: "Where the Dog Sits on the Tuckerbox" is an Australian folk song celebrating a legendary loyal dog associated with early bullock drivers, which inspired the famous Dog on the Tuckerbox monument near Gundagai, New South Wales.
-
A.
traditional song "Honeycomb"
The traditional song "Honeycomb" is a folk-style tune best known for inspiring Jimmie Rodgers’ 1957 pop hit of the same name, characterized by its simple, catchy melody and romantic, homespun lyrics.
-
B.
song "Black Mountain Rag"
"Black Mountain Rag" is a fast-paced traditional American fiddle tune popularized in the flatpicking guitar style by Doc Watson.
-
C.
Ukrainian folk song "Spin, O My Spinner"
The Ukrainian folk song "Spin, O My Spinner" is a traditional lyrical tune whose melody has been incorporated into classical works, notably serving as thematic material in symphonic compositions.
-
D.
song "Tennessee Stud"
"Tennessee Stud" is a classic American country and folk song, widely popularized by Doc Watson’s influential recording.
-
E.
song "Coward of the County"
"Coward of the County" is a 1979 country song by Kenny Rogers that tells the story of a peaceful man forced to confront a violent local gang known as the Gatlin Boys after they assault his beloved.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1cad5c8190a45dfb0f0cc2a512 |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281d8c65081908ebaf4bff5670c47 |
completed | April 29, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69f2b8b73f28819089ac252f7f823efb |
completed | April 30, 2026, 2:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f2c4120f448190ac0ac944e77cb20e |
completed | April 30, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:44 p.m.