Triple
T9754289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Petty |
E236514
|
entity |
| Predicate | hasSignatureHat |
P18678
|
FINISHED |
| Object | cowboy hat |
—
|
LITERAL FINISHED |
How this triple was built (2 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: cowboy hat | Statement: [Richard Petty, hasSignatureHat, cowboy hat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignatureHat Context triple: [Richard Petty, hasSignatureHat, cowboy hat]
-
A.
hasSign
Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
-
B.
hasSignatureRole
Indicates that an entity holds a primary, defining, or officially recognized role within a given context or relationship.
-
C.
hasSignFor
Indicates that one entity displays, bears, or provides a sign, symbol, or notice that represents, directs attention to, or gives information about another entity.
-
D.
hasSignatureConcept
Indicates that something is associated with or characterized by a defining concept that uniquely represents its core meaning or identity.
-
E.
hasSignatureTrait
chosen
Indicates that an entity possesses a defining or characteristic trait that is especially distinctive or representative of it.
- F. None of above.
Provenance (3 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.