Triple
T18144270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiram's Hospital |
E434342
|
entity |
| Predicate | inspiredDebateWithinStory |
P57127
|
FINISHED |
| Object | newspaper controversy over church revenues |
—
|
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: newspaper controversy over church revenues | Statement: [Hiram's Hospital, inspiredDebateWithinStory, newspaper controversy over church revenues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredDebateWithinStory Context triple: [Hiram's Hospital, inspiredDebateWithinStory, newspaper controversy over church revenues]
-
A.
inspiredPolicyDebate
Indicates that one entity’s ideas, actions, or statements sparked or significantly influenced a policy debate involving another entity.
-
B.
debatedWithin
chosen
Indicates that something is discussed or argued about within a particular group, context, or domain.
-
C.
debatedBetween
Indicates a situation in which two or more parties engage in a discussion or argument over differing views about a particular issue or topic.
-
D.
partOfDebate
Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
-
E.
canDebate
Indicates that one entity has the ability or permission to engage in a debate or argumentative discussion with another entity.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de32d3f88190bd9f406729716407 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.