Triple
T9289671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas in the United States Senate |
E223484
|
entity |
| Predicate | senatorJohnCornynFirstTookOffice |
P25747
|
FINISHED |
| Object | December 2, 2002 |
—
|
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: December 2, 2002 | Statement: [Texas in the United States Senate, senatorJohnCornynFirstTookOffice, December 2, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senatorJohnCornynFirstTookOffice Context triple: [Texas in the United States Senate, senatorJohnCornynFirstTookOffice, December 2, 2002]
-
A.
startTimeAsUnitedStatesSenator
chosen
Indicates the date and time at which an individual began serving in the role of United States Senator.
-
B.
firstElectedToSenate
Indicates the event or relationship in which a person is initially chosen or wins election to serve as a member of a senate.
-
C.
endTimeMemberOfCongressFirstTerm
Indicates the date and time when an individual’s first term as a member of Congress concludes.
-
D.
startTimeAsGovernorOfKentuckyFirstTerm
Indicates the date and time when an individual’s first term serving as Governor of Kentucky began.
-
E.
firstRepresentationInCongress
Indicates that an entity marks the initial time or instance another entity is represented in a specific session or body of Congress.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08643a848190a8b5be1ccc0b2ef6 |
completed | April 1, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.