Triple

T11992590
Position Surface form Disambiguated ID Type / Status
Subject Tye Sheridan E285444 entity
Predicate notableWork P4 FINISHED
Object The Night Clerk E612701 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: The Night Clerk | Statement: [Tye Sheridan, notableWork, The Night Clerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Night Clerk
Context triple: [Tye Sheridan, notableWork, The Night Clerk]
  • A. The Night Clerk chosen
    The Night Clerk is a 2020 crime drama thriller film about a socially awkward hotel clerk who becomes entangled in a murder investigation after secretly recording guests.
  • B. The Crier by Night
    The Crier by Night is a dramatic poem by British writer Gordon Bottomley, known for its lyrical, symbolist treatment of death and the supernatural.
  • C. Nightpiece
    Nightpiece is a poem by James Joyce included in his 1927 collection Pomes Penyeach.
  • D. La mesita de noche
    "La mesita de noche" is a song featured on the original soundtrack of Pedro Almodóvar’s film "Hable con Ella."
  • E. The Draughtsman's Contract
    The Draughtsman's Contract is a 1982 British art-house mystery film by Peter Greenaway, noted for its stylized visuals, intricate plotting, and exploration of power, perception, and authorship.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4726696dc8190bf2a7aa43cb08b19 completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.