Triple

T1408207
Position Surface form Disambiguated ID Type / Status
Subject Blade II E31744 entity
Predicate starring P1507 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 II, starring, Wesley Snipes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wesley Snipes
Context triple: [Blade II, starring, 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. 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.
  • D. Terrence Howard
    Terrence Howard is an American actor and singer known for his roles in films like "Hustle & Flow" and the TV series "Empire."
  • E. Michael Ealy
    Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bf7f0c8190aee96818de6ff4a5 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015a52a88190933e7337067e5364 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.