Triple
T2249436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nneka Ogwumike |
E49581
|
entity |
| Predicate | WNBPAPresident |
P36495
|
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: [Nneka Ogwumike, WNBPAPresident, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WNBPAPresident Context triple: [Nneka Ogwumike, WNBPAPresident, true]
-
A.
teamPresidentOf
Indicates that one entity serves as the president or top executive leader of a particular team.
-
B.
currentOrganizerPresident
Indicates that the subject entity is the person who currently holds the role of president of the organizer entity.
-
C.
leaguePresidentAL
Indicates that the subject serves as the president of the specified league in the American League (AL) context.
-
D.
hasBoroughPresident
Indicates that a borough is associated with a specific individual who serves as its president or chief elected official.
-
E.
SpeakerOfTheHouse
Indicates that the subject holds the position of Speaker of the House in a legislative body, presiding over its sessions and proceedings.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ef74988190a0af51d983cf5658 |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:47 p.m.