Triple

T3237261
Position Surface form Disambiguated ID Type / Status
Subject Darren Aronofsky E67883 entity
Predicate notableWork P4 FINISHED
Object Mother! E136606 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: Mother! | Statement: [Darren Aronofsky, notableWork, Mother!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mother!
Context triple: [Darren Aronofsky, notableWork, Mother!]
  • A. Mother! chosen
    Mother! is a 2017 psychological horror film directed by Darren Aronofsky, known for its allegorical narrative, intense performances, and divisive critical reception.
  • B. The Others
    The Others is a 2001 psychological horror film known for its atmospheric tension, twist ending, and Nicole Kidman’s acclaimed lead performance.
  • C. The Babadook
    The Babadook is a 2014 Australian psychological horror film about a grieving mother and her troubled son who are terrorized by a sinister entity emerging from a mysterious children's pop-up book.
  • D. Black Sunday
    Black Sunday is a 1977 American thriller film about a terrorist plot to attack the Super Bowl, directed by John Frankenheimer and based on Thomas Harris's novel of the same name.
  • E. Black Sunday
    Black Sunday was a catastrophic 1935 dust storm during the Dust Bowl that turned daytime skies black and became one of the era’s most infamous environmental disasters.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2774a97c481908be820bc5ddf786d completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.