Triple

T7072619
Position Surface form Disambiguated ID Type / Status
Subject Blade: Trinity E164734 entity
Predicate producer P490 FINISHED
Object Wesley Snipes E161331 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: Wesley Snipes | Statement: [Blade: Trinity, producer, Wesley Snipes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wesley Snipes
Context triple: [Blade: Trinity, producer, Wesley Snipes]
  • A. Wesley Snipes chosen
    Wesley Snipes is an American actor and martial artist best known for his action roles, particularly as the vampire hunter Blade in the Blade film series.
  • B. Samuel L. Jackson
    Samuel L. Jackson is an acclaimed American actor and film producer known for his powerful screen presence and roles in films such as "Pulp Fiction," the Marvel Cinematic Universe, and numerous other Hollywood blockbusters.
  • C. Langston Fishburne
    Langston Fishburne is an American actor and the son of acclaimed actor Laurence Fishburne.
  • D. Larenz Tate
    Larenz Tate is an American actor known for his roles in films like "Menace II Society," "Love Jones," and "Dead Presidents," as well as the TV series "Power."
  • E. Laurence Fishburne
    Laurence Fishburne is an American actor and producer renowned for his powerful screen presence in films such as The Matrix trilogy, Boyz n the Hood, and numerous acclaimed stage and television roles.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4cb76548190bd98876f8ba925b7 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7945fdafc81909c265373627af4e8 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:39 p.m.