Triple

T11995592
Position Surface form Disambiguated ID Type / Status
Subject Nina Axelrod E285520 entity
Predicate notableWork P4 FINISHED
Object Motel Hell E796318 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: Motel Hell | Statement: [Nina Axelrod, notableWork, Motel Hell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motel Hell
Context triple: [Nina Axelrod, notableWork, Motel Hell]
  • A. Motel Hell chosen
    Motel Hell is a 1980 American horror-comedy cult film about a deranged farmer who turns his victims into secret ingredients for his famous smoked meats.
  • B. The Motel
    The Motel is a 2005 independent coming-of-age drama film that follows a 13-year-old boy living and working at his family's seedy roadside motel, featuring Sung Kang in a key supporting role.
  • C. Home Motel
    "Home Motel" is a track featured on the album *Teatro* by Willie Nelson.
  • D. Crossroads Motel
    Crossroads Motel is a fictional roadside lodging establishment that serves as the central location for much of the drama and character interaction in the British soap opera "Crossroads."
  • E. Moonlight Motel
    Moonlight Motel is a song by Bruce Springsteen featured on his album "Western Stars."
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47281ea7c819081921bc125f8895f completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.