Triple
T7644658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goofy |
E173090
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Dippy Dawg
Dippy Dawg is the early name of Goofy, the tall, clumsy, and good-natured cartoon dog character created by Disney.
|
E677959
|
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: Dippy Dawg | Statement: [Goofy, originalName, Dippy Dawg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dippy Dawg Context triple: [Goofy, originalName, Dippy Dawg]
-
A.
Digger
Digger was the nickname of Al Cervi, a Hall of Fame American professional basketball player and coach known for his tough, hard-nosed style of play in the early NBA.
-
B.
Digger
Digger is the central character of the play "The Hasty Heart," around whom the story’s emotional and dramatic developments revolve.
-
C.
Dudly
Dudly is an alternative spelling or variant form of the given name Dudley.
-
D.
Doggie Julian
Doggie Julian was a prominent American basketball coach best known for leading the Holy Cross Crusaders to the 1947 NCAA championship and later coaching in the NBA.
-
E.
Spike the Bulldog
Spike the Bulldog is the costumed canine figure that represents Drake University at its athletic events and school functions.
- 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: Dippy Dawg Triple: [Goofy, originalName, Dippy Dawg]
Generated description
Dippy Dawg is the early name of Goofy, the tall, clumsy, and good-natured cartoon dog character created by Disney.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dippy Dawg Target entity description: Dippy Dawg is the early name of Goofy, the tall, clumsy, and good-natured cartoon dog character created by Disney.
-
A.
Digger
Digger is the central character of the play "The Hasty Heart," around whom the story’s emotional and dramatic developments revolve.
-
B.
Digger
Digger was the nickname of Al Cervi, a Hall of Fame American professional basketball player and coach known for his tough, hard-nosed style of play in the early NBA.
-
C.
Dudly
Dudly is an alternative spelling or variant form of the given name Dudley.
-
D.
Doggie Julian
Doggie Julian was a prominent American basketball coach best known for leading the Holy Cross Crusaders to the 1947 NCAA championship and later coaching in the NBA.
-
E.
Spike the Bulldog
Spike the Bulldog is the costumed canine figure that represents Drake University at its athletic events and school functions.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf13858819095262664e1e04eb7 |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870d510f08190ad7706f582e8c1a0 |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c87328c2cc81908b9fb89f5fee062e |
completed | March 29, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c873846a188190a3a1cc56ac247fb0 |
completed | March 29, 2026, 12:34 a.m. |
Created at: March 27, 2026, 3:58 p.m.