Triple
T33670296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cole Trickle |
E862598
|
entity |
| Predicate | hasCrewChiefInFilm |
P103679
|
FINISHED |
| Object |
Harry Hogge
Harry Hogge is the seasoned, no-nonsense crew chief who mentors rookie NASCAR driver Cole Trickle in the film "Days of Thunder."
|
E2061601
|
NE FINISHED |
How this triple was built (3 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: Harry Hogge | Statement: [Cole Trickle, hasCrewChiefInFilm, Harry Hogge]
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: Harry Hogge Triple: [Cole Trickle, hasCrewChiefInFilm, Harry Hogge]
Generated description
Harry Hogge is the seasoned, no-nonsense crew chief who mentors rookie NASCAR driver Cole Trickle in the film "Days of Thunder."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrewChiefInFilm Context triple: [Cole Trickle, hasCrewChiefInFilm, Harry Hogge]
-
A.
hasCrewChief
chosen
Indicates that an entity is associated with a specific crew chief who is responsible for leading or supervising its crew.
-
B.
hasCrewRole
Indicates that an entity serves in a specific role or position within a crew associated with another entity.
-
C.
hasNotableCrewMember
Indicates that an entity is associated with a crew member who is considered notable or distinguished in some way.
-
D.
hasDirectorCameo
Indicates that the director of a work appears in a cameo role within that same work.
-
E.
hasCrewMember
Indicates that an entity includes or employs another entity as a member of its crew.
- F. None of above.
Provenance (6 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36272e840c8190b2fc0c0ba5f8ea3b |
completed | June 20, 2026, 5:37 a.m. |
| NEDg | Description generation | batch_6a36283aac9c8190836bddb4a59bb063 |
completed | June 20, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3628b9d16481908e159baeeedd8c0d |
completed | June 20, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 1, 2026, 1:42 a.m.