Triple
T34737834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Wolfe |
E1001399
|
entity |
| Predicate | notableKO |
P205538
|
FINISHED |
| Object | one-punch knockout of Vonda Ward in 2004 |
—
|
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: one-punch knockout of Vonda Ward in 2004 | Statement: [Ann Wolfe, notableKO, one-punch knockout of Vonda Ward in 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableKO Context triple: [Ann Wolfe, notableKO, one-punch knockout of Vonda Ward in 2004]
-
A.
notableKeeper
Indicates that an entity is a well-known or distinguished keeper, guardian, or custodian of another entity.
-
B.
notableGiant
Indicates that an entity is recognized as a giant of particular note, standing out for its exceptional size, influence, or significance relative to others of its kind.
-
C.
notableBase
Indicates that a particular location serves as a significant or distinguished base or headquarters for an entity.
-
D.
notableKey
Indicates that the referenced key is of particular importance or prominence compared to other keys in the same context.
-
E.
notableModelOrganism
Indicates that an organism is widely recognized and frequently used as a standard or reference model for scientific research or experimentation.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 3:59 p.m.