Triple

T27817776
Position Surface form Disambiguated ID Type / Status
Subject Lt. Frank Cioffi E702722 entity
Predicate investigatesDeathOf P164533 FINISHED
Object Jessica Cranshaw
Jessica Cranshaw is a fictional, talentless leading lady whose onstage murder sets off the musical-theatre murder mystery in the Broadway show "Curtains."
 E1803375 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jessica Cranshaw
Triple: [Lt. Frank Cioffi, investigatesDeathOf, Jessica Cranshaw]
Generated description
Jessica Cranshaw is a fictional, talentless leading lady whose onstage murder sets off the musical-theatre murder mystery in the Broadway show "Curtains."
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 (7 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.
NED1 Entity disambiguation (via context triple) batch_6a15c8e62f008190b999bc71c09b4514 completed May 26, 2026, 4:23 p.m.
NEDg Description generation batch_6a15cd65b5bc8190baf84be7b0b62613 completed May 26, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a15ce99f0bc8190851afa77f31d6b67 completed May 26, 2026, 4:47 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.