Triple

T3286243
Position Surface form Disambiguated ID Type / Status
Subject Michael Keaton E68988 entity
Predicate name P16 FINISHED
Object Michael Keaton E68988 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: Michael Keaton | Statement: [Michael Keaton, name, Michael Keaton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Keaton
Context triple: [Michael Keaton, name, Michael Keaton]
  • A. Michael Keaton chosen
    Michael Keaton is an American actor known for his versatile performances in films such as "Batman," "Beetlejuice," and the Academy Award–winning "Birdman."
  • B. Jonathan Irons
    Jonathan Irons is an American man whose wrongful conviction and eventual release from prison drew national attention, in part due to the advocacy and later marriage of WNBA star Maya Moore.
  • C. Adam West
    Adam West was an American actor best known for his iconic portrayal of Batman in the 1960s television series.
  • D. Christopher Lloyd
    Christopher Lloyd is an American actor best known for his eccentric and memorable roles in film and television, including the time-traveling scientist Doc Brown in the "Back to the Future" trilogy.
  • E. Christopher Lloyd
    Christopher Lloyd is an American television producer and writer best known for co-creating the hit sitcom Modern Family and his work on series like Frasier.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05779d08190a5517951e71b1380 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85b6a1081908581b2040b8ce261 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.