Triple
T10956638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | October Road |
E258861
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Mean Old Man
"Mean Old Man" is a song featured on the album *October Road* by singer-songwriter James Taylor.
|
E894606
|
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: Mean Old Man | Statement: [October Road, hasTrack, Mean Old Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mean Old Man Context triple: [October Road, hasTrack, Mean Old Man]
-
A.
Old Man
"Old Man" is a classic folk-rock song by Neil Young, known for its reflective lyrics about aging and life perspective, originally released on his 1972 album "Harvest."
-
B.
Old Man
Old Man is the central, allegorical figure in the work "Purgatory," embodying themes of guilt, suffering, and spiritual reckoning.
-
C.
the Old Man
The Old Man is a central, symbolic figure in Ernest Hemingway’s novella "The Old Man and the Sea," representing endurance, dignity, and the human struggle against overwhelming odds.
-
D.
Same Old Man
"Same Old Man" is a song by Joanna Newsom from her 2010 album *Have One on Me*, known for its intricate lyrics and distinctive harp-driven folk sound.
-
E.
Prior Velho
Prior Velho is a locality in the Lisbon metropolitan area of Portugal, situated near the town of Sacavém and close to Lisbon’s main airport.
- 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: Mean Old Man Triple: [October Road, hasTrack, Mean Old Man]
Generated description
"Mean Old Man" is a song featured on the album *October Road* by singer-songwriter James Taylor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mean Old Man Target entity description: "Mean Old Man" is a song featured on the album *October Road* by singer-songwriter James Taylor.
-
A.
Old Man
"Old Man" is a classic folk-rock song by Neil Young, known for its reflective lyrics about aging and life perspective, originally released on his 1972 album "Harvest."
-
B.
Old Man
Old Man is the central, allegorical figure in the work "Purgatory," embodying themes of guilt, suffering, and spiritual reckoning.
-
C.
the Old Man
The Old Man is a central, symbolic figure in Ernest Hemingway’s novella "The Old Man and the Sea," representing endurance, dignity, and the human struggle against overwhelming odds.
-
D.
Same Old Man
"Same Old Man" is a song by Joanna Newsom from her 2010 album *Have One on Me*, known for its intricate lyrics and distinctive harp-driven folk sound.
-
E.
Prior Velho
Prior Velho is a locality in the Lisbon metropolitan area of Portugal, situated near the town of Sacavém and close to Lisbon’s main airport.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771260e9881909401a7a7466e1b8a |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c72196c8190b2336a130b64ab8e |
completed | April 17, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69e2454473f48190bfd44d0d0f48bc60 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e245f3c9988190a74ddd330621f7e1 |
completed | April 17, 2026, 2:38 p.m. |
Created at: April 8, 2026, 9:23 p.m.