Triple
T1081647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Hopper College |
E23958
|
entity |
| Predicate | hasHeadOfCollegeTitleCurrent |
P18747
|
FINISHED |
| Object | Head of College |
—
|
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: Head of College | Statement: [Grace Hopper College, hasHeadOfCollegeTitleCurrent, Head of College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeadOfCollegeTitleCurrent Context triple: [Grace Hopper College, hasHeadOfCollegeTitleCurrent, Head of College]
-
A.
hasViceChancellor
Indicates that one entity serves as the vice chancellor of another entity.
-
B.
governingHeadTitle
chosen
Indicates the official title held by the person who serves as the governing head of an entity (such as a country, organization, or institution).
-
C.
principalAndViceChancellor
Indicates that one entity holds the role of principal while also serving as the vice chancellor of an institution in relation to another entity.
-
D.
isHeadOf
Indicates that one entity holds the leading or principal authority position over another entity, such as an organization, group, or department.
-
E.
hasMinisterTitle
Indicates that an entity holds or is associated with a specific ministerial title 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73f4310819086281f8ec67d1a32 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.