Triple
T27028468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleepy Lagoon murder case |
E680851
|
entity |
| Predicate | causeOfDeathDispute |
P67150
|
FINISHED |
| Object | uncertain cause of José Díaz’s death |
—
|
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: uncertain cause of José Díaz’s death | Statement: [Sleepy Lagoon murder case, causeOfDeathDispute, uncertain cause of José Díaz’s death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfDeathDispute Context triple: [Sleepy Lagoon murder case, causeOfDeathDispute, uncertain cause of José Díaz’s death]
-
A.
deathCauseUncertainty
chosen
Indicates that there is ambiguity, doubt, or lack of definitive information about the cause of death in the relationship being described.
-
B.
causeOfDeath
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
C.
disputedDeathDate
Indicates that there is uncertainty or disagreement about the correct date on which an entity died.
-
D.
reasonForDeath
Indicates the cause, circumstance, or condition that led to an entity’s death.
-
E.
debatedAsCauseOf
Indicates that one entity is discussed or argued over as a possible cause or origin of another 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 27, 2026, 7:12 a.m.