Triple

T14309642
Position Surface form Disambiguated ID Type / Status
Subject Donna Murphy E354789 entity
Predicate notableRole P22 FINISHED
Object Fosca in Passion E763304 NE 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: Fosca in Passion | Statement: [Donna Murphy, notableRole, Fosca in Passion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fosca in Passion
Context triple: [Donna Murphy, notableRole, Fosca in Passion]
  • A. Fosca chosen
    Fosca is a small rural municipality in the Eastern Province of Cundinamarca, Colombia, known for its mountainous landscapes and traditional Andean agriculture.
  • B. Fosca
    Fosca is a municipality located within Cuba's former Oriente Province.
  • C. Crimes of Passion
    "Crimes of Passion" is Pat Benatar's breakthrough 1980 rock album, featuring hits like "Hit Me with Your Best Shot" that cemented her status as a major artist in the early MTV era.
  • D. Crimes of Passion
    Crimes of Passion is a 1984 psychological erotic thriller film directed by Ken Russell, noted for its provocative exploration of sexuality and repression and starring Kathleen Turner and Anthony Perkins.
  • E. A Crime of Passion
    A Crime of Passion is a made-for-television thriller film centered on jealousy, betrayal, and murder.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b26da48190a96e2f60ace51335 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2e2444819090252684673ff3df completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:12 a.m.