Triple
T31451280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Texas |
E802325
|
entity |
| Predicate | hasPublicExpectation |
P87370
|
FINISHED |
| Object | engagement in civic activities |
—
|
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: engagement in civic activities | Statement: [First Lady of Texas, hasPublicExpectation, engagement in civic activities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicExpectation Context triple: [First Lady of Texas, hasPublicExpectation, engagement in civic activities]
-
A.
hasAudienceExpectation
chosen
Indicates that one entity holds assumptions or anticipates certain reactions, knowledge, or behavior from its audience in relation to another entity or context.
-
B.
hasStabilityExpectation
Indicates that one entity expects another entity to maintain a certain level or condition of stability over time.
-
C.
hasTemporalExpectation
Indicates that one entity holds an expectation about when (in time) another event, state, or action will occur or be valid.
-
D.
setsExpectationsFor
Indicates that one entity defines or communicates standards, requirements, or anticipated outcomes that another entity is expected to meet or follow.
-
E.
containsProphecyAbout
Indicates that one entity includes or conveys a prediction or foretelling specifically concerning another entity.
- 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_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 30, 2026, 9:13 p.m.