Triple
T749272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonville and Caius College, Cambridge |
E15409
|
entity |
| Predicate | governingHeadTitle |
P18747
|
FINISHED |
| Object | Master |
—
|
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: Master | Statement: [Gonville and Caius College, Cambridge, governingHeadTitle, Master]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingHeadTitle Context triple: [Gonville and Caius College, Cambridge, governingHeadTitle, Master]
-
A.
headOfGovernmentTitle
Indicates the official title held by the person who serves as the head of a government.
-
B.
headOfStateTitle
Indicates the official title held by the person who serves as the head of state of a country or political entity.
-
C.
civilianLeaderTitle
Indicates the official title held by a person who serves as the civilian leader of a group, organization, or jurisdiction.
-
D.
governorTitle
Indicates the official title or designation held by a person serving as a governor.
-
E.
headOfGovernmentBody
Indicates that one entity serves as the chief executive or leading official in charge of governing another entity, typically a political or administrative body.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6304e0c8190827fb57c5cac2da9 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a5004f708190a984ee221716e19c |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a58c0a84819094f07658dc651b36 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.