Triple
T3146314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 WNBA season |
E65771
|
entity |
| Predicate | CathyEngelbertStartAsCommissioner |
P3762
|
FINISHED |
| Object | 2019-07-17 |
—
|
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: 2019-07-17 | Statement: [2019 WNBA season, CathyEngelbertStartAsCommissioner, 2019-07-17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CathyEngelbertStartAsCommissioner Context triple: [2019 WNBA season, CathyEngelbertStartAsCommissioner, 2019-07-17]
-
A.
Sylvia GarciaTermStart
Indicates the date or time period when Sylvia Garcia’s term in an office or position begins.
-
B.
isFirstFemaleHolderOfOffice
Indicates that a person is the first woman ever to hold a particular office or position.
-
C.
startTimeAsFirstLadyOfCalifornia
Indicates the date and time when an individual first assumed the role of First Lady of California.
-
D.
commissionerStartYear
chosen
Indicates the calendar year in which an entity began serving in the role of commissioner.
-
E.
signatureProjectAsFirstLady
Indicates that the person’s primary or most notable initiative or cause during their tenure as First Lady is this particular project.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada598ccf08190b8817c456f38f2d7 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.