Triple
T1980601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrone Power Sr. |
E43015
|
entity |
| Predicate | deathDuringActivity |
P11793
|
FINISHED |
| Object | died while filming "The Miracle Man" (often reported as dying on set of a film) |
—
|
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: died while filming "The Miracle Man" (often reported as dying on set of a film) | Statement: [Tyrone Power Sr., deathDuringActivity, died while filming "The Miracle Man" (often reported as dying on set of a film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathDuringActivity Context triple: [Tyrone Power Sr., deathDuringActivity, died while filming "The Miracle Man" (often reported as dying on set of a film)]
-
A.
deathApprox
Indicates that an entity’s death occurred at an approximate, rather than exact, time or date.
-
B.
diedWhile
chosen
Indicates that one entity ceased to live during the occurrence or performance of another specified event or activity.
-
C.
deathContributedTo
Indicates that one entity played a causal or contributing role in bringing about the death of another entity.
-
D.
diedOnJourneyBetween
Indicates that an entity died while traveling between two specified locations or points in a journey.
-
E.
deathDescribedIn
Indicates that a person's death is documented, narrated, or otherwise detailed within a particular source or description.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.