Triple

T2405852
Position Surface form Disambiguated ID Type / Status
Subject Peter Bogdanovich E50274 entity
Predicate directed P7373 FINISHED
Object Mask E264250 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: Mask | Statement: [Peter Bogdanovich, directed, Mask]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mask
Context triple: [Peter Bogdanovich, directed, Mask]
  • A. Mask chosen
    Mask is a 1985 American drama film directed by Peter Bogdanovich that tells the true story of a boy with a severe craniofacial condition and his relationship with his unconventional mother.
  • B. MASQUE
    MASQUE is an IETF protocol framework that enables proxying of network traffic such as HTTP, DNS, and VPN-like tunnels over HTTP/3 using QUIC.
  • C. Mask (album)
    Mask is a 1985 choral-symphonic electronic album by Greek composer Vangelis, known for its dramatic, quasi-orchestral sound and mythic, ritualistic atmosphere.
  • D. Behind a Mask
    "Behind a Mask" is a sensation-style novella by Louisa May Alcott, originally published under a pseudonym, that follows a cunning governess who deceives a wealthy family for personal gain.
  • E. The Masks
    "The Masks" is a classic 1964 episode of The Twilight Zone in which a dying man forces his greedy relatives to wear grotesque masks that ultimately reveal their true inner selves.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fb78408190b99fa8b4dfaaa75d completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf403f74819082dc50e31f29b171 completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:58 p.m.