Triple

T15393076
Position Surface form Disambiguated ID Type / Status
Subject FX2 E368097 entity
Predicate title P38 FINISHED
Object F/X2 E368097 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: F/X2 | Statement: [FX2, title, F/X2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F/X2
Context triple: [FX2, title, F/X2]
  • A. F/X
    F/X is a 1986 crime thriller film about a special effects expert hired to stage a fake assassination that turns dangerously real.
  • B. Do X2a
    The Do X2a was an improved variant of the Dornier Do X flying boat airliner, featuring upgraded engines and modifications aimed at enhancing performance and reliability.
  • C. FX2 chosen
    FX2 is a 1991 action-thriller film and sequel to the movie "F/X," starring Brian Dennehy and Bryan Brown as they again use movie special-effects skills to outwit criminals.
  • D. X2 (2003 film)
    X2 (2003 film) is a 2003 superhero movie based on the Marvel Comics X-Men, continuing the story of mutant heroes and villains as they confront a new threat to their kind.
  • E. X3
    X3 is the former designation of the standards body now known as INCITS, which oversees information technology standards in the United States.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7838b48190862b43c6c8620692 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1350699c8190acf7830d88455851 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.