Triple
T27764496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Richards |
E701563
|
entity |
| Predicate | officeEndForGovernorOfTexas |
P24865
|
FINISHED |
| Object | 1995-01-17 |
—
|
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: 1995-01-17 | Statement: [Ann Richards, officeEndForGovernorOfTexas, 1995-01-17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndForGovernorOfTexas Context triple: [Ann Richards, officeEndForGovernorOfTexas, 1995-01-17]
-
A.
officeEndForGovernorOfSouthCarolina
Indicates the date or point in time when an individual's term as Governor of South Carolina comes to an end.
-
B.
officeEndForGovernorOfTaiwanProvince
Indicates the date or event marking when a person’s term as Governor of Taiwan Province comes to an end.
-
C.
servedAsGovernorUntil
chosen
Indicates that an entity held the position of governor up to a specified end date or time.
-
D.
officeEndForGovernorOfAntioquia
Indicates the date or event marking when a person’s term as governor of Antioquia comes to an end.
-
E.
officeEnd_LieutenantGovernor
Indicates the date or point in time when an individual’s term as Lieutenant Governor comes to an end.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: April 27, 2026, 4:29 p.m.