Triple

T16641951
Position Surface form Disambiguated ID Type / Status
Subject Alisha Bailey E404360 entity
Predicate knownFor P22 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: [Alisha Bailey, knownFor, Backdraft 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Backdraft 2
Context triple: [Alisha Bailey, knownFor, 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad1a7748190aa9308d4e96c566c completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bb4cec819091d9b7b2a09248ee completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.