Triple
T25488409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Winston |
E638774
|
entity |
| Predicate | emotionAfterJohnnyDeath |
P76982
|
FINISHED |
| Object | grief |
—
|
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: grief | Statement: [Dallas Winston, emotionAfterJohnnyDeath, grief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionAfterJohnnyDeath Context triple: [Dallas Winston, emotionAfterJohnnyDeath, grief]
-
A.
fatherReactionToDeath
Indicates the emotional or behavioral response of a father to the death of someone (typically a close relation).
-
B.
facesDeath
Indicates that an entity is confronting, experiencing, or is directly threatened by death or a life-ending situation.
-
C.
afterDeathOf
Indicates that one event, state, or condition occurs subsequent to and as a result of the death of a specified entity.
-
D.
afterDeath
chosen
Indicates that one event, state, or condition occurs subsequent to and as a result of an entity’s death.
-
E.
containsDeathOf
Indicates that the subject includes, depicts, or involves the death of the referenced 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f77dd964819096ec6b2bff5757a6 |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:33 p.m.