Triple
T186930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Committee on Civil Rights |
E4000
|
entity |
| Predicate | appointedByOffice |
P6733
|
FINISHED |
| Object | President of the United States |
—
|
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: President of the United States | Statement: [Committee on Civil Rights, appointedByOffice, President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedByOffice Context triple: [Committee on Civil Rights, appointedByOffice, President of the United States]
-
A.
appointedBy
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
B.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
C.
electedOffice
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
D.
enactedBy
Indicates that a law, policy, or formal measure is officially established or brought into effect by a specific authority or governing body.
-
E.
successorOfficeTo
Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2594809288190b3d3b1283e7e0d00 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25670feb081908e26a2543ebe7b3a |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a257e763d081908c54ad57d8d3060d |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.