Triple
T29113879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah Cockroft |
E736988
|
entity |
| Predicate | isWorldRecordHolder |
P29425
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hannah Cockroft, isWorldRecordHolder, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWorldRecordHolder Context triple: [Hannah Cockroft, isWorldRecordHolder, true]
-
A.
wasWorldRecordFor
Indicates that something held the status of being the best performance or highest achievement ever recorded for a particular event, category, or metric at a given time.
-
B.
isAllTimeRecordHolderFor
chosen
Indicates that an entity holds the highest or best performance record of all time for a particular category, event, or metric.
-
C.
holdsNationalRecord
Indicates that an entity possesses the officially recognized best national performance or achievement in a particular field, event, or category.
-
D.
worldRecordMaintainedBy
Indicates that a particular world record is currently held or overseen by a specific entity (such as a person or organization).
-
E.
hasWorldRecordCategory
Indicates that an entity holding a world record is associated with a specific category or type of record.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661eed7c88190aa13e144e7c5711d |
completed | May 2, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:20 a.m.