Triple
T1246743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Chandler |
E26782
|
entity |
| Predicate | endTimeAsUnitedStatesSenator |
P4346
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [Happy Chandler, endTimeAsUnitedStatesSenator, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeAsUnitedStatesSenator Context triple: [Happy Chandler, endTimeAsUnitedStatesSenator, 1945]
-
A.
endTimeAsUSCongressSeat
Indicates the date and time at which a person’s tenure in a specific seat in the U.S. Congress comes to an end.
-
B.
endTimeAsGovernorOfIndiana
Indicates the date and time at which an individual's tenure as Governor of Indiana concludes.
-
C.
officeholderEndTime
chosen
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
D.
startTimeAsUSCongressSeat
Indicates the date and time at which an individual officially begins serving in a specific seat in the U.S. Congress.
-
E.
endTimeAsGovernorOfLouisiana
Indicates the date and time at which an individual's tenure as Governor of Louisiana concludes.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf6750a48190b86e9248ed54d90a |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.