Triple

T4790899
Position Surface form Disambiguated ID Type / Status
Subject Dorcas E106597 entity
Predicate killedBy P4646 FINISHED
Object Joe Trace E97632 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: Joe Trace | Statement: [Dorcas, killedBy, Joe Trace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Trace
Context triple: [Dorcas, killedBy, Joe Trace]
  • A. Joe Trace chosen
    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."
  • B. Troy Maxson
    Troy Maxson is a bitter, charismatic former Negro League baseball player turned garbage collector whose struggles with racism, responsibility, and family define the emotional core of August Wilson’s story "Fences."
  • C. Cleveland Brown
    Cleveland Brown is a mild-mannered, soft-spoken neighbor and friend of Peter Griffin who later became the star of the spin-off animated sitcom "The Cleveland Show."
  • D. Dr. Goines
    Dr. Goines is a key scientist in the film "12 Monkeys" whose research and actions are central to the movie’s time-travel and viral-outbreak storyline.
  • E. Willie E. Gary
    Willie E. Gary is a prominent American trial lawyer and philanthropist known for winning massive jury verdicts in high-profile civil cases and for his significant charitable contributions.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65ddff388190b55071ed5cae7688 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d96f7e88190be4ba5c7ceb07608 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.