Triple
T36257049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UST Manila |
E891966
|
entity |
| Predicate | alumniNotability |
P184820
|
FINISHED |
| Object | has many influential alumni in politics, law, medicine, arts, and the Church |
—
|
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: has many influential alumni in politics, law, medicine, arts, and the Church | Statement: [UST Manila, alumniNotability, has many influential alumni in politics, law, medicine, arts, and the Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alumniNotability Context triple: [UST Manila, alumniNotability, has many influential alumni in politics, law, medicine, arts, and the Church]
-
A.
motherNotability
Indicates that an entity’s mother is notable or has significant recognition or prominence.
-
B.
organNotability
Indicates that an organ is notable or significant in some specific context or for a particular purpose.
-
C.
coachNotability
Indicates that an individual is notable or distinguished specifically in their role as a coach.
-
D.
DarbyFieldNotability
Indicates that the subject’s primary notability or significance is associated with Darby Field.
-
E.
designerNotability
Indicates that an entity is notable or recognized specifically for its work or role as a designer.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5fece288190bd538ba5391d45e7 |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b57aa0848190a22c31c3ff90e0ab |
completed | May 3, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:09 p.m.