Triple

T16585986
Position Surface form Disambiguated ID Type / Status
Subject Gravedigger scene E402957 entity
Predicate featuresCharacter P626 FINISHED
Object Second Clown E1221688 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: Second Clown | Statement: [Gravedigger scene, featuresCharacter, Second Clown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Second Clown
Context triple: [Gravedigger scene, featuresCharacter, Second Clown]
  • A. First Clown chosen
    First Clown is the witty, darkly comic gravedigger in Shakespeare’s *Hamlet* who banters about death and mortality while digging Ophelia’s grave.
  • B. 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.
  • C. The Clown
    The Clown is a mysterious and influential figure known as an alias of the character The Mule.
  • D. The Clown
    The Clown is a film featuring Jane Greer, best known for her classic femme fatale roles in mid-20th-century American cinema.
  • E. 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."
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599cbc448190bc80eef4ad58eb41 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007597905881909df7dc49961b6a02 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:16 a.m.