Triple
T26792725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Franz |
E670558
|
entity |
| Predicate | reactionToMcCandlessDeath |
P161239
|
FINISHED |
| Object | renounces his faith in God temporarily |
—
|
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: renounces his faith in God temporarily | Statement: [Ron Franz, reactionToMcCandlessDeath, renounces his faith in God temporarily]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactionToMcCandlessDeath Context triple: [Ron Franz, reactionToMcCandlessDeath, renounces his faith in God temporarily]
-
A.
fatherReactionToDeath
Indicates the emotional or behavioral response of a father to the death of someone (typically a close relation).
-
B.
initialReactionToHusbandsDeath
Indicates the person's immediate emotional or behavioral response upon learning of her husband's death.
-
C.
reactionToPatricide
Indicates the emotional or behavioral response of an entity to the act of killing one’s own father.
-
D.
causedReaction
Indicates that one entity’s action or state brought about a specific reaction or response in another entity.
-
E.
reactionToHouseFire
Indicates a response or behavior exhibited by an entity in relation to a house fire event.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f619bd27908190ac9152693dd37658 |
completed | May 2, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 4:17 a.m.