Triple
T21762403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Brown Professor of Theoretical Physics |
E537194
|
entity |
| Predicate | chairHolderOccupation |
P126257
|
FINISHED |
| Object | string theorist |
—
|
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: string theorist | Statement: [Harold Brown Professor of Theoretical Physics, chairHolderOccupation, string theorist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chairHolderOccupation Context triple: [Harold Brown Professor of Theoretical Physics, chairHolderOccupation, string theorist]
-
A.
chairHolderField
Indicates that a field specifies or identifies the holder (person or entity) of a chair position.
-
B.
officeHolderOccupation
chosen
Indicates that the occupation describes the role or job held by an office holder.
-
C.
chairHolderStatus
Indicates the status or condition of an entity in relation to holding a specific chair or official position.
-
D.
chairHeldBy
Indicates that a chair is currently being physically held or supported by a particular entity.
-
E.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d9369f88190b4be11b82fe75a17 |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:51 p.m.