Triple
T27764513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Richards |
E701563
|
entity |
| Predicate | successorAsTreasurerOfTexas |
P189424
|
FINISHED |
| Object | Office abolished |
—
|
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: Office abolished | Statement: [Ann Richards, successorAsTreasurerOfTexas, Office abolished]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAsTreasurerOfTexas Context triple: [Ann Richards, successorAsTreasurerOfTexas, Office abolished]
-
A.
successorOfficeHolder
Indicates that one office holder directly follows another in occupying the same official position.
-
B.
successorNameInUS
Indicates that the object is the name of the entity that succeeds the subject in the United States context.
-
C.
predecessorAsTreasurer
Indicates that one entity previously held the role of treasurer before another entity, establishing a predecessor relationship in that office.
-
D.
succeededByAsPresident
Indicates that one individual directly followed another in holding the office of president.
-
E.
precededInOfficeAsGovernorBy
Indicates that one individual assumed the role of governor after another specific individual, who held the office immediately before them.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 27, 2026, 4:29 p.m.