Triple
T27817776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lt. Frank Cioffi |
E702722
|
entity |
| Predicate | investigatesDeathOf |
P164533
|
FINISHED |
| Object | Jessica Cranshaw |
—
|
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: Jessica Cranshaw | Statement: [Lt. Frank Cioffi, investigatesDeathOf, Jessica Cranshaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investigatesDeathOf Context triple: [Lt. Frank Cioffi, investigatesDeathOf, Jessica Cranshaw]
-
A.
hasCauseOfDeathInvestigation
Indicates that an entity is the subject of an official investigation into the circumstances or cause of its death.
-
B.
portraysInvestigationOf
Indicates that one entity depicts, represents, or illustrates the process, details, or conduct of an investigation concerning another entity.
-
C.
allegedMannerOfDeath
Indicates that the specified manner of death is claimed or reported for an entity, but not confirmed as factual.
-
D.
subjectOfInquest
Indicates that an entity is the focus or target of a formal inquest or official investigative proceeding.
-
E.
investigatesIn
Indicates that an entity conducts an investigation or inquiry within, or focused on, a particular context, location, or domain.
- F. None of above. chosen
Provenance (4 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f64e6e8c9081908ce4d364aa26147a |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 27, 2026, 5:46 p.m.