Triple

T16673410
Position Surface form Disambiguated ID Type / Status
Subject Cherilyn Sarkisian E405158 entity
Predicate notableWork P4 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: [Cherilyn Sarkisian, notableWork, Mask]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mask
Context triple: [Cherilyn Sarkisian, notableWork, 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 Off
    "Mask Off" is a hit hip-hop single by Future, produced by Metro Boomin, known for its haunting flute sample and widespread cultural impact.
  • D. Mukudj mask
    The Mukudj mask is a traditional white-faced ceremonial mask of the Punu people of Gabon, often characterized by refined features and elaborate coiffures and used in dance performances and ancestral rites.
  • E. Paper Mask
    "Paper Mask" is a British medical thriller novel by John Collee about a hospital porter who assumes the identity of a dead doctor, exploring themes of deception, ambition, and ethical boundaries in medicine.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6904008190a79ab30b6d9ccae9 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3916508190bd5edd91310ddb5a completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.