Triple

T9096652
Position Surface form Disambiguated ID Type / Status
Subject Greg Mullavey E218040 entity
Predicate name P16 FINISHED
Object Greg Mullavey E218040 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: Greg Mullavey | Statement: [Greg Mullavey, name, Greg Mullavey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Mullavey
Context triple: [Greg Mullavey, name, Greg Mullavey]
  • A. Greg Mullavey chosen
    Greg Mullavey is an American actor best known for his role as Tom Hartman on the satirical 1970s television soap opera "Mary Hartman, Mary Hartman."
  • B. Eric McLeod
    Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
  • C. Ian Hultquist
    Ian Hultquist is an American composer and musician best known for his film and television scores and as a founding member and former keyboardist of the indie pop band Passion Pit.
  • D. Eric Danchick
    Eric Danchick is a film producer known for his work on the movie "Bound 2."
  • E. Andrew McCollum
    Andrew McCollum is an American entrepreneur and software engineer best known as one of the original co-founders of Facebook.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0181a9ae88190ab80d4e80e919f42 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.