Triple

T21960049
Position Surface form Disambiguated ID Type / Status
Subject Lucas Burch E542300 entity
Predicate informsOn P96146 FINISHED
Object Joe Christmas NE NERFINISHED

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: Joe Christmas | Statement: [Lucas Burch, informsOn, Joe Christmas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Christmas
Context triple: [Lucas Burch, informsOn, Joe Christmas]
  • A. Joe Christmas chosen
    Joe Christmas is the tormented, racially ambiguous protagonist of William Faulkner’s novel "Light in August," whose life and violent fate unfold in the fictional town of Jefferson, Mississippi.
  • B. Xaphoon Jones
    Xaphoon Jones is an American hip-hop producer best known as the co-founder and beatmaker of the duo Chiddy Bang.
  • C. Joe Trace
    Joe Trace is a middle-aged cosmetics salesman in Harlem whose passionate affair and its violent aftermath drive the intertwined stories of Toni Morrison’s novel "Jazz."
  • D. Emmett Forrest
    Emmett Forrest is a central character in the musical "Legally Blonde," serving as Elle Woods’s supportive and grounded love interest and mentor at Harvard Law School.
  • E. Emmett Washington
    Emmett Washington is a central character on the television drama "The Chi," known for his journey from a carefree young father to a more responsible and entrepreneurial figure on Chicago’s South Side.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12454a290819094d4b56547816e3f completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8 p.m.