Triple
T37546499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apologia Pro Vita Sua |
E933477
|
entity |
| Predicate | defendsConversionOf |
P191058
|
FINISHED |
| Object | John Henry Newman |
—
|
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: John Henry Newman | Statement: [Apologia Pro Vita Sua, defendsConversionOf, John Henry Newman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defendsConversionOf Context triple: [Apologia Pro Vita Sua, defendsConversionOf, John Henry Newman]
-
A.
allowsConversionTo
Indicates that one entity permits or enables transformation or change into another specified form or state.
-
B.
opposedConversionOf
Indicates that one entity actively resisted, objected to, or worked against the process of converting or changing another entity.
-
C.
isConversion
Indicates that one entity is transformed or converted into another, typically changing its form, type, or representation.
-
D.
isForcedToConvertTo
Indicates that one entity is compelled, against its will, to change its beliefs, affiliation, or status to match that of another entity.
-
E.
involvesConversionFrom
Indicates that one entity participates in or requires a transformation or change from another entity as its source or starting point.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: May 3, 2026, 4:17 p.m.