Triple
T7270719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred M. Vinson |
E161094
|
entity |
| Predicate | endTimeMemberOfCongressSecondTerm |
P15375
|
FINISHED |
| Object | 1938 |
—
|
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: 1938 | Statement: [Fred M. Vinson, endTimeMemberOfCongressSecondTerm, 1938]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeMemberOfCongressSecondTerm Context triple: [Fred M. Vinson, endTimeMemberOfCongressSecondTerm, 1938]
-
A.
senateMembership
Indicates that an entity holds or has held a position as a member of a senate.
-
B.
representedInCongressSince
Indicates that an entity has served as a representative in a legislative congress continuously since a specified date or time.
-
C.
hasSecondTerm
Indicates that an entity is associated with a second term in a sequence, pair, or ordered relationship.
-
D.
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.
-
E.
representedInCongressBy
Indicates that one entity serves as the official congressional representative (e.g., legislator) for another entity (such as a person, group, or geographic area).
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:58 p.m.