Triple
T38687675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evander Holyfield vs. Bert Cooper |
E949163
|
entity |
| Predicate | cooperStatus |
P191530
|
FINISHED |
| Object | late replacement opponent |
—
|
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: late replacement opponent | Statement: [Evander Holyfield vs. Bert Cooper, cooperStatus, late replacement opponent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cooperStatus Context triple: [Evander Holyfield vs. Bert Cooper, cooperStatus, late replacement opponent]
-
A.
cooperatingState
Indicates that one state collaborates or works jointly with another state toward shared goals or activities.
-
B.
coordinateStatus
Indicates that one entity’s status is aligned, synchronized, or made consistent with another entity’s status or with a shared reference state.
-
C.
hasCooperative
Indicates that one entity participates in a cooperative relationship or partnership with another entity.
-
D.
opusStatus
Indicates the current state or condition of an artistic or literary work within its lifecycle (e.g., planned, in progress, completed, or published).
-
E.
classStatus
Indicates the current academic or enrollment standing of an entity within a class or course context.
- 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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.