Triple
T17429826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bren Professor of Chemistry at California Institute of Technology |
E423838
|
entity |
| Predicate | chairHolderIsChemist |
P127430
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bren Professor of Chemistry at California Institute of Technology, chairHolderIsChemist, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chairHolderIsChemist Context triple: [Bren Professor of Chemistry at California Institute of Technology, chairHolderIsChemist, true]
-
A.
chairHeldBy
Indicates that a chair is currently being physically held or supported by a particular entity.
-
B.
chairIn
Indicates that one entity is a chair located within the spatial bounds or interior of another entity.
-
C.
coChairWith
Indicates that two or more entities share the role of chairing the same group, event, or organization jointly.
-
D.
canChair
Indicates that an entity has the authority or capability to preside over, lead, or chair a meeting, committee, or similar group.
-
E.
architectOfSeat
Indicates that an entity serves as the architect responsible for the design of a particular seat (e.g., a legislative seat, position, or designated place).
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448ffb9c8819099fabfeebdc06883 |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.