Triple
T31451245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Texas |
E802325
|
entity |
| Predicate | isTraditionallyHeldBy |
P24160
|
FINISHED |
| Object | spouse of the sitting Governor of Texas |
—
|
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: spouse of the sitting Governor of Texas | Statement: [First Lady of Texas, isTraditionallyHeldBy, spouse of the sitting Governor of Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTraditionallyHeldBy Context triple: [First Lady of Texas, isTraditionallyHeldBy, spouse of the sitting Governor of Texas]
-
A.
isUsuallyHeldBy
Indicates that something is most commonly or typically possessed, carried, or controlled by a particular entity.
-
B.
isTraditionallyOccupiedBy
chosen
Indicates that a place, territory, or role has historically and customarily been inhabited or held by a particular group or type of entity.
-
C.
areHeldIn
Indicates that events, activities, or objects take place or are located within a particular venue, container, or setting.
-
D.
wasFirstHeldBy
Indicates that an event or activity was initially hosted, organized, or conducted by a particular entity.
-
E.
isHeldAt
Indicates that an event, state, or condition occurs or is in effect at a specific time or temporal point.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 30, 2026, 9:13 p.m.