Triple
T35527760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Wrestling Association |
E1026715
|
entity |
| Predicate | booker |
P125489
|
FINISHED |
| Object | Verne Gagne |
—
|
NE NERFINISHED |
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: Verne Gagne | Statement: [American Wrestling Association, booker, Verne Gagne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: booker Context triple: [American Wrestling Association, booker, Verne Gagne]
-
A.
hasBooker
Indicates that one entity serves as the booking agent or person responsible for arranging engagements for another entity.
-
B.
bookWriter
Indicates that a person is the author who wrote the specified book.
-
C.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
D.
sharesBookerPrizeWith
Indicates that two entities have both received the Booker Prize, sharing this literary award in common.
-
E.
headBooker
chosen
Indicates that one entity serves as the primary organizer or decision-maker (e.g., main scheduler or match-maker) for another entity within an event or production context.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.