Triple

T17305813
Position Surface form Disambiguated ID Type / Status
Subject Marcus Burnett E420161 entity
Predicate worksWith P398 FINISHED
Object Mike Lowrey E420160 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: Mike Lowrey | Statement: [Marcus Burnett, worksWith, Mike Lowrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Lowrey
Context triple: [Marcus Burnett, worksWith, Mike Lowrey]
  • A. Mike Lowrey chosen
    Mike Lowrey is a stylish, wisecracking Miami detective portrayed by Will Smith in the Bad Boys action-comedy film series.
  • B. Mike McGlone
    Mike McGlone is an American actor and author best known for his roles in films like "The Brothers McMullen" and "She's the One," as well as for his distinctive voiceover work in television commercials.
  • C. Chris Lowe
    Chris Lowe is a British musician best known as the keyboardist and one half of the synth-pop duo Pet Shop Boys.
  • D. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • E. Mike Elliott
    Mike Elliott is a film director and producer known for his work on numerous direct-to-video sequels, including entries in franchises like The Scorpion King.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e438ff3ee08190ab4c44a22f86b38b completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c440c58819084792fcd6b7a7a79 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.