Triple
T1081646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Hopper College |
E23958
|
entity |
| Predicate | hasMasterTitleFormer |
P23724
|
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: [Grace Hopper College, hasMasterTitleFormer, Master]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMasterTitleFormer Context triple: [Grace Hopper College, hasMasterTitleFormer, Master]
-
A.
hasRepresentativeTitle
Indicates that an entity holds a formal title or designation that serves as its primary or most commonly used label or name.
-
B.
hasFormerLeader
Indicates that an entity previously held the role of leader of another entity but no longer does.
-
C.
heldTitleFrom
Indicates that an entity possessed or held a particular title starting from a specified point in time.
-
D.
predecessorTitleHolder
Indicates that one entity previously held a particular title or position before another entity.
-
E.
hasPatronalTitle
Indicates that an entity holds or is associated with a specific patronal or honorific title, typically reflecting patronage, protection, or dedication.
- 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_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. |
| PDg | Predicate description generation | batch_69a4b80f0fb08190a19a50e38ae8f16c |
completed | March 1, 2026, 10:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.