Triple

T15103891
Position Surface form Disambiguated ID Type / Status
Subject José David Montero E360737 entity
Predicate workedOn P3 FINISHED
Object Backdraft 2 E72332 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: Backdraft 2 | Statement: [José David Montero, workedOn, Backdraft 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Backdraft 2
Context triple: [José David Montero, workedOn, Backdraft 2]
  • A. Backdraft 2 chosen
    Backdraft 2 is a 2019 direct-to-video action thriller film that continues the firefighting drama and arson investigation storyline of the original 1991 movie "Backdraft."
  • B. Backdraft
    Backdraft is a 1991 action-thriller film about Chicago firefighters, directed by Ron Howard and known for its intense fire sequences and exploration of arson investigations.
  • C. Afterburn/Aftershock
    Afterburn/Aftershock is a romantic drama film adaptation of Sylvia Day’s bestselling novels, produced and directed by Tosca Musk for the Passionflix streaming platform.
  • D. Firefight
    Firefight is a cooperative survival game mode in the Halo series where players battle waves of increasingly difficult enemies.
  • E. Afterburn
    Afterburn is a high-speed inverted roller coaster at the Carowinds amusement park, known for its intense inversions and smooth, forceful ride experience.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7e6fc7c8190b517a7daa567d67c completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.