Triple

T17929793
Position Surface form Disambiguated ID Type / Status
Subject Theodore Scott Glenn E448299 entity
Predicate notableWork P4 FINISHED
Object Vertical Limit NE NERFINISHED

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: Vertical Limit | Statement: [Theodore Scott Glenn, notableWork, Vertical Limit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vertical Limit
Context triple: [Theodore Scott Glenn, notableWork, Vertical Limit]
  • A. Vertical Limit chosen
    Vertical Limit is a 2000 action-thriller film about a high-stakes rescue mission on K2, known for its intense mountaineering sequences and starring Chris O'Donnell.
  • B. Limit Up
    Limit Up is a 1989 fantasy-comedy film about a young female commodities trader who makes a deal with a devilish figure to achieve success in the Chicago futures market.
  • C. Limite
    Limite is a 1931 Brazilian silent experimental film by Mário Peixoto, renowned for its avant-garde visual style and status as a landmark of early Latin American cinema.
  • D. Out of Bounds
    Out of Bounds is a non-fiction sports book by Steve Delsohn that offers an inside look at the controversies, culture, and behind-the-scenes realities of professional sports.
  • E. Out of Bounds
    Out of Bounds is a 1986 neo-noir thriller film starring Anthony Michael Hall as a farm boy entangled in a deadly Los Angeles drug underworld after a mix-up at the airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5511a408190973cf5fa1f286a26 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.