Triple
T29436722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiene |
E746592
|
entity |
| Predicate | hasNotableReligiousFigure |
P92872
|
FINISHED |
| Object | Saint Cajetan |
—
|
NE NERFINISHED |
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: Saint Cajetan | Statement: [Thiene, hasNotableReligiousFigure, Saint Cajetan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableReligiousFigure Context triple: [Thiene, hasNotableReligiousFigure, Saint Cajetan]
-
A.
hasNotableClergyman
chosen
Indicates that an entity is associated with a clergyman who is distinguished or notable in some recognized way.
-
B.
hasNotableMilitaryFigure
Indicates that an entity is associated with or distinguished by a specific person recognized for significant military role, rank, or achievements.
-
C.
hasNotablePeople
Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
-
D.
hasReligiousFigureAssociation
Indicates a relationship in which an entity is connected or linked to a religious figure, such as through dedication, representation, influence, or affiliation.
-
E.
hasNotableReligiousCommunity
Indicates that an entity is known for having a significant or prominent religious community associated with it.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
Created at: April 28, 2026, 3:17 p.m.