Triple
T36166423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Technicolor |
E1046010
|
entity |
| Predicate | appliedToPersonPlaceOfDeath |
P62093
|
FINISHED |
| Object | Santa Monica, California, United States |
—
|
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: Santa Monica, California, United States | Statement: [Queen of Technicolor, appliedToPersonPlaceOfDeath, Santa Monica, California, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedToPersonPlaceOfDeath Context triple: [Queen of Technicolor, appliedToPersonPlaceOfDeath, Santa Monica, California, United States]
-
A.
appliedToPersonDateOfDeath
Indicates that something (such as a rule, status, or condition) is applied specifically in relation to the date on which a person died.
-
B.
associatedWithDeathOf
Indicates a relationship where one entity is connected in some relevant way to the death of another entity, such as by involvement, causation, or contextual association.
-
C.
hasHonoureePlaceOfDeath
chosen
Indicates the place where the honoured person died.
-
D.
placeOfCessation
Indicates the location where an entity’s existence, activity, or state comes to an end.
-
E.
onceDeceased
Indicates that an entity was previously dead at some point in time, regardless of its current state.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff6ef0d61c81909162d37c15a1a3c3 |
completed | May 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ff6c6a58e08190921317062cd9d489 |
completed | May 9, 2026, 5:18 p.m. |
Created at: May 3, 2026, 4:08 p.m.