Triple

T20741719
Position Surface form Disambiguated ID Type / Status
Subject Pitch Black E510457 entity
Predicate stars P1956 FINISHED
Object Vin Diesel 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: Vin Diesel | Statement: [Pitch Black, stars, Vin Diesel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vin Diesel
Context triple: [Pitch Black, stars, Vin Diesel]
  • A. Vin Diesel chosen
    Vin Diesel is an American actor and producer best known for his role as Dominic Toretto in the Fast & Furious film franchise.
  • B. Steve Brand
    Steve Brand is a central, level-headed suburban resident whose growing paranoia and suspicion drive much of the tension in the classic Twilight Zone episode "The Monsters Are Due on Maple Street."
  • C. Christopher Martin
    Christopher Martin is an American actor and rapper best known as "Play" from the hip-hop duo Kid 'n Play and for his roles in the House Party film series.
  • D. Sam Jaeger
    Sam Jaeger is an American actor best known for his role as Joel Graham on the television drama series "Parenthood."
  • E. Christopher O’Neal
    Christopher O’Neal is an American actor best known for his starring role on the Nickelodeon teen sitcom "How to Rock."
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20f9670819082199de21a8d9818 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.