Triple

T15977199
Position Surface form Disambiguated ID Type / Status
Subject Ana de Armas E387478 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: [Ana de Armas, notableWork, The Night Clerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Night Clerk
Context triple: [Ana de Armas, 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 Night in Question
    The Night in Question is a critically acclaimed short story collection by American author Tobias Wolff, known for its precise prose and explorations of memory, morality, and family relationships.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157521f6c8190a54023b5ee6fc033 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8e4124819084c2937f532f5ab5 completed May 9, 2026, 11:09 p.m.
Created at: April 10, 2026, 4:54 a.m.