Triple

T13257779
Position Surface form Disambiguated ID Type / Status
Subject Patricia Velásquez E315706 entity
Predicate appearedIn P795 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: [Patricia Velásquez, appearedIn, Rescue Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rescue Me
Context triple: [Patricia Velásquez, appearedIn, 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
    "Rescue Me" is a 2019 pop single by American band OneRepublic that blends anthemic hooks with emotional lyrics about conditional love and support.
  • C. 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.
  • D. Rescue Me
    "Rescue Me" is a 2010 hip hop and grime single by British rapper Skepta that gained mainstream attention for its crossover appeal and introspective lyrics.
  • E. 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.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4240d881909f0ee898fd272826 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.