Triple
T8340472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marbeuf |
E195896
|
entity |
| Predicate | associatedWithRoleOf |
P75765
|
FINISHED |
| Object | future 32nd 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: future 32nd president of the United States | Statement: [Marbeuf, associatedWithRoleOf, future 32nd president of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithRoleOf Context triple: [Marbeuf, associatedWithRoleOf, future 32nd president of the United States]
-
A.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
B.
associatedWithCharacterRole
Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
-
C.
associatedWithRoleOfNameBearer
chosen
Indicates that an entity is connected to or involved with the specific role or function held by a designated name bearer.
-
D.
associatedWithStationRole
Indicates that an entity has a connection or involvement with a specific role or function at a station.
-
E.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fe8989481909b32d4bfd586372d |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.