Triple

T17818809
Position Surface form Disambiguated ID Type / Status
Subject Megan Hunt E444918 entity
Predicate creator P184 FINISHED
Object Christopher Murphey 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: Christopher Murphey | Statement: [Megan Hunt, creator, Christopher Murphey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Murphey
Context triple: [Megan Hunt, creator, Christopher Murphey]
  • A. Christopher Murphey chosen
    Christopher Murphey is an American television writer and producer best known for creating the medical-crime drama series "Body of Proof."
  • B. Fred Mitchell
    Fred Mitchell was an early 20th-century Major League Baseball manager best known for leading the Chicago Cubs during their 1918 pennant-winning season.
  • C. Michael Burton
    Michael Burton is an astronomer and academic known for serving as director of the Armagh Planetarium in Northern Ireland.
  • D. Michael Bentt
    Michael Bentt is a former British-American professional heavyweight boxer who briefly held the WBO world title before becoming an actor and boxing consultant in film and television.
  • E. Marc Wydell
    Marc Wydell is a central character in the animated film "Ron's Gone Wrong," depicted as a socially awkward middle-schooler whose malfunctioning robot friend helps him navigate friendship and growing up in a hyper-connected digital world.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488812df081909771d51c54c405fe completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:15 a.m.