Triple

T16156797
Position Surface form Disambiguated ID Type / Status
Subject Leilani Sarelle E392064 entity
Predicate participatedIn P149 FINISHED
Object Rescue Me E308005 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: [Leilani Sarelle, participatedIn, Rescue Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rescue Me
Context triple: [Leilani Sarelle, participatedIn, Rescue Me]
  • A. Rescue Me chosen
    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
    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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5aa57c8190a9d89dd57e30318f completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b05a588190a44d1c922195a87b completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.