Triple
T25383918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Dagen |
E631466
|
entity |
| Predicate | deathStatusInFilm |
P24966
|
FINISHED |
| Object | killed in trap |
—
|
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: killed in trap | Statement: [Bobby Dagen, deathStatusInFilm, killed in trap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathStatusInFilm Context triple: [Bobby Dagen, deathStatusInFilm, killed in trap]
-
A.
deathStatus
chosen
Indicates whether an entity is alive, dead, or in another specified state related to mortality.
-
B.
deathOutcome
Indicates that an event, condition, or action results in the death of the affected entity.
-
C.
deathApprox
Indicates that an entity’s death occurred at an approximate, rather than exact, time or date.
-
D.
deathIs
Indicates that one entity is the cause, manner, or circumstance of another entity’s death.
-
E.
deathInterpretedAs
Indicates that one entity’s death is understood, framed, or interpreted in a particular way by another entity or within a given context.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f56566c5408190a8841d2c45dcf52c |
completed | May 2, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:46 p.m.