Triple
T9903001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarbanes |
E182331
|
entity |
| Predicate | associatedWithProfessionOfBearers |
P35215
|
FINISHED |
| Object | U.S. Senator |
—
|
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: U.S. Senator | Statement: [Sarbanes, associatedWithProfessionOfBearers, U.S. Senator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithProfessionOfBearers Context triple: [Sarbanes, associatedWithProfessionOfBearers, U.S. Senator]
-
A.
isAssociatedWithProfessionOfBearer
chosen
Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
-
B.
occupationOfAssociatedPerson
Indicates the job or professional role held by a person who is associated with another referenced entity.
-
C.
associatedWithRoleOfNameBearer
Indicates that an entity is connected to or involved with the specific role or function held by a designated name bearer.
-
D.
associatedWithStateThroughBearers
Indicates a relationship where an entity is linked to a state indirectly via intermediary bearers (such as organizations, agents, or instruments) that connect it to that state.
-
E.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e391888190a3f5e5a1bf1cf9ff |
completed | April 2, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:40 p.m.