Triple
T2586365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo L. Black |
E58013
|
entity |
| Predicate | endTimeAsSenatorFromAlabama |
P15375
|
FINISHED |
| Object | 1937-08-19 |
—
|
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: 1937-08-19 | Statement: [Hugo L. Black, endTimeAsSenatorFromAlabama, 1937-08-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeAsSenatorFromAlabama Context triple: [Hugo L. Black, endTimeAsSenatorFromAlabama, 1937-08-19]
-
A.
endTimeAsUSCongressSeat
chosen
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.
endTimeAsGovernorOfLouisiana
Indicates the date and time at which an individual's tenure as Governor of Louisiana concludes.
-
C.
startTimeAsUnitedStatesSenator
Indicates the date and time at which an individual began serving in the role of United States Senator.
-
D.
senateMembership
Indicates that an entity holds or has held a position as a member of a senate.
-
E.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3f6f6ac8190abff7b8b6ff3c023 |
completed | March 7, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.