Triple

T11338021
Position Surface form Disambiguated ID Type / Status
Subject Michael Zegen E268520 entity
Predicate castMemberOf P7010 FINISHED
Object Rescue Me E345557 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: Rescue Me | Statement: [Michael Zegen, castMemberOf, Rescue Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rescue Me
Context triple: [Michael Zegen, castMemberOf, Rescue Me]
  • A. Rescue Me
    Rescue Me is a 1992 action-comedy film in which Gina Gershon co-stars in a story about a young man trying to save his kidnapped girlfriend.
  • B. Rescue Me chosen
    Rescue Me is a darkly comedic drama television series centered on New York City firefighters coping with trauma, relationships, and life after 9/11.
  • C. Rescue Me
    "Rescue Me" is a 2019 pop single by American band OneRepublic that blends anthemic hooks with emotional lyrics about conditional love and support.
  • D. Love Rescue Me
    "Love Rescue Me" is a gospel-influenced rock song by U2, co-written with Bob Dylan and known for its soulful, reflective lyrics and prominent use of brass and backing vocals.
  • E. Ocean Avenue
    Ocean Avenue is a major coastal thoroughfare in Santa Monica, California, known for its scenic views of the Pacific Ocean and proximity to the Santa Monica Pier and Palisades Park.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea008b5081908e6c6c6fc29ef936 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55645d8bc8190b338c05ee382d5fc completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.