Triple
T35970278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tristan Goligher |
E1040263
|
entity |
| Predicate | roleIn45Years |
P203369
|
FINISHED |
| Object | producer |
—
|
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: producer | Statement: [Tristan Goligher, roleIn45Years, producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleIn45Years Context triple: [Tristan Goligher, roleIn45Years, producer]
-
A.
roleInIndividualLife
Indicates the specific function, influence, or involvement that one entity has within the personal life or experiences of another entity.
-
B.
roleAfterRetirement
Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
-
C.
roleInJob41
Indicates that an entity holds or performs a specific role or function within a particular job or employment position.
-
D.
roleIn40DaysAnd40Nights
Indicates that an entity participated in the movie "40 Days and 40 Nights" in a specific role (such as actor, director, or other credited position).
-
E.
hasPartInLife
Indicates that an entity participates in, contributes to, or plays a role within some aspect or period of another entity’s life.
- F. None of above. chosen
Provenance (4 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a016cc5abcc8190b64094c777b40f6f |
completed | May 11, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_6a016b997ecc8190818207c57b9cbf17 |
completed | May 11, 2026, 5:39 a.m. |
| PDg | Predicate description generation | batch_6a016cc4fa0081908143a12377491a81 |
completed | May 11, 2026, 5:44 a.m. |
Created at: May 3, 2026, 4:07 p.m.