Triple

T14129409
Position Surface form Disambiguated ID Type / Status
Subject Tyra Ferrell E340120 entity
Predicate hasWorkedWith P9615 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: [Tyra Ferrell, hasWorkedWith, Wesley Snipes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wesley Snipes
Context triple: [Tyra Ferrell, hasWorkedWith, 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. Joseph Gibson
    Joseph Gibson was a prominent local figure in North Carolina whose legacy is commemorated in the naming of the town of Gibsonville.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de610aa434819096671c5aabb9134a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa0e98c81908f6b55a04cd72871 completed May 8, 2026, 7:02 a.m.
Created at: April 9, 2026, 10:23 p.m.