Triple
T29023534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clare Kendry |
E737520
|
entity |
| Predicate | deathInterpretation |
P101493
|
FINISHED |
| Object | ambiguous (accident, suicide, or murder) |
—
|
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: ambiguous (accident, suicide, or murder) | Statement: [Clare Kendry, deathInterpretation, ambiguous (accident, suicide, or murder)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathInterpretation Context triple: [Clare Kendry, deathInterpretation, ambiguous (accident, suicide, or murder)]
-
A.
deathInterpretedAs
chosen
Indicates that one entity’s death is understood, framed, or interpreted in a particular way by another entity or within a given context.
-
B.
deathOutcome
Indicates that an event, condition, or action results in the death of the affected entity.
-
C.
deathLeadsTo
Indicates that one entity’s death causes, results in, or brings about another event, state, or condition.
-
D.
deathApprox
Indicates that an entity’s death occurred at an approximate, rather than exact, time or date.
-
E.
deathIs
Indicates that one entity is the cause, manner, or circumstance of another entity’s death.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 28, 2026, 9:51 a.m.