Triple

T10285301
Position Surface form Disambiguated ID Type / Status
Subject Louise Fazenda E241210 entity
Predicate notableWork P4 FINISHED
Object The Circus Clown E635376 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 Circus Clown | Statement: [Louise Fazenda, notableWork, The Circus Clown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Circus Clown
Context triple: [Louise Fazenda, notableWork, The Circus Clown]
  • A. The Circus Clown chosen
    The Circus Clown is a 1934 American drama film directed by George Melford that follows the struggles and triumphs of a performer in the world of circus entertainment.
  • B. The Dancing Clown
    The Dancing Clown is the terrifying, clown-shaped guise of Pennywise, the ancient evil entity that preys on children in Stephen King’s horror novel "It."
  • C. The Clown
    The Clown is a 1963 novel by German author Heinrich Böll that follows a disillusioned clown in postwar Germany as he confronts personal failure, religious hypocrisy, and societal guilt.
  • D. The Clown
    The Clown is a mysterious and influential figure known as an alias of the character The Mule.
  • E. Clowns
    "Clowns" is a photographic series by Cindy Sherman in which she uses elaborate costumes and makeup to explore identity, performance, and the unsettling aspects of clown imagery.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b737788190bfadd0d48ad38f5b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8444c48819095100c6d1d45ccc7 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:40 a.m.