Triple
T11410254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chip Roy |
E270349
|
entity |
| Predicate | has occupation |
P14167
|
FINISHED |
| Object | public servant |
—
|
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: public servant | Statement: [Chip Roy, has occupation, public servant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has occupation Context triple: [Chip Roy, has occupation, public servant]
-
A.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
-
B.
allegedOccupation
Indicates that one entity is claimed or reported to be the occupation or job role of another entity, without asserting that this claim is necessarily true.
-
C.
hasOccupationOfDesignee
Indicates that one entity serves as the designated or appointed holder of an occupation or role for another entity.
-
D.
occupationOf
chosen
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
E.
occupationType
Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8015017d08190b4020c76545556d6 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.