Triple
T22917411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zane Frazier |
E568769
|
entity |
| Predicate | appearedInEventType |
P80661
|
FINISHED |
| Object | no-holds-barred fighting events |
—
|
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: no-holds-barred fighting events | Statement: [Zane Frazier, appearedInEventType, no-holds-barred fighting events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearedInEventType Context triple: [Zane Frazier, appearedInEventType, no-holds-barred fighting events]
-
A.
appearsAtEventType
chosen
Indicates that an entity is present or participates in an event of a specified type.
-
B.
appearedAt
Indicates that an entity was present or made an appearance at a specific event, location, or occasion.
-
C.
appearedWith
Indicates that two entities were present or participated together in the same context, event, or medium.
-
D.
associatedEventType
Indicates that one entity is linked to another by the type or category of event with which it is associated.
-
E.
refersToEventType
Indicates that one entity references or is associated with a specific type or category of event.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807a14648190b5d5f7d926f19320 |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.