Triple

T11175591
Position Surface form Disambiguated ID Type / Status
Subject John Gilbert E264401 entity
Predicate edited P1932 FINISHED
Object Vertical Limit E737101 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: Vertical Limit | Statement: [John Gilbert, edited, Vertical Limit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vertical Limit
Context triple: [John Gilbert, edited, 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. 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.
  • C. 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.
  • D. 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.
  • E. Bounds
    Bounds is the maiden surname of Lillian Disney, the wife of Walt Disney and a key figure in the early Disney family history.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8987e1081909b28a0bdb866beae completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4838f19388190af6fde7d4275ce2a completed April 19, 2026, 7:26 a.m.
Created at: April 8, 2026, 9:29 p.m.