Triple
T1715370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women’s Tennis Association |
E37276
|
entity |
| Predicate | hasCommissionerTitle |
P1555
|
FINISHED |
| Object | Chairman and CEO |
—
|
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: Chairman and CEO | Statement: [Women’s Tennis Association, hasCommissionerTitle, Chairman and CEO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommissionerTitle Context triple: [Women’s Tennis Association, hasCommissionerTitle, Chairman and CEO]
-
A.
commissionerTitle
chosen
Indicates the official title or designation held by a person serving in the role of commissioner.
-
B.
hasRepresentativeTitle
Indicates that an entity holds a formal title or designation that serves as its primary or most commonly used label or name.
-
C.
hasChairmanTitle
Indicates that an entity holds the position or official title of chairman in relation to another entity or organization.
-
D.
hasDeputyLeaderTitle
Indicates that an entity holds a specific title associated with the role of deputy leader.
-
E.
hasMinisterTitle
Indicates that an entity holds or is associated with a specific ministerial title or office.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab7521878c8190b9e7739b8c3fc705 |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61bd46d48190915500d75a9d8e94 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.