Triple
T36892940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George C. Villaseñor |
E911802
|
entity |
| Predicate | roleInOpeningNight |
P57329
|
FINISHED |
| Object | film editor |
—
|
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: film editor | Statement: [George C. Villaseñor, roleInOpeningNight, film editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInOpeningNight Context triple: [George C. Villaseñor, roleInOpeningNight, film editor]
-
A.
bookingRole
Indicates the role or capacity an entity has in relation to a booking (e.g., who made, manages, or is responsible for the booking).
-
B.
talentShowRole
Indicates the specific function or position an entity holds within the context of a talent show (e.g., performer, judge, host).
-
C.
theaterRole
Indicates that an entity holds or performs a specific role or character in a theatrical production in relation to another entity (such as a play or performance).
-
D.
openingRole
chosen
Indicates the functional role or position an entity holds at the initial or starting phase of an event, process, or sequence.
-
E.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
- 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a01bdacb52481909c56b0398106640e |
completed | May 11, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_6a01bd30c8ec8190b1e54d7658b01a8d |
completed | May 11, 2026, 11:27 a.m. |
Created at: May 3, 2026, 4:13 p.m.