Triple

T3301157
Position Surface form Disambiguated ID Type / Status
Subject Snatch E69334 entity
Predicate hasCastMember P2308 FINISHED
Object Benicio del Toro E139656 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: Benicio del Toro | Statement: [Snatch, hasCastMember, Benicio del Toro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benicio del Toro
Context triple: [Snatch, hasCastMember, Benicio del Toro]
  • A. Benicio del Toro chosen
    Benicio del Toro is an acclaimed Puerto Rican actor known for his intense, brooding performances in films such as "Traffic," "The Usual Suspects," and "Sicario."
  • B. Andy García
    Andy García is a Cuban-American actor and director renowned for his roles in films such as "The Godfather Part III," "Ocean's Eleven," and "The Untouchables."
  • C. Joaquin Phoenix
    Joaquin Phoenix is an acclaimed American actor known for his intense, transformative performances in films such as "Joker," "Walk the Line," and "The Master."
  • D. Philip Seymour Hoffman
    Philip Seymour Hoffman was an acclaimed American actor known for his intense, character-driven performances in films such as "Capote," "The Master," and "Synecdoche, New York."
  • E. Guy Pearce
    Guy Pearce is an Australian actor known for his versatile performances in films such as "Memento," "L.A. Confidential," and "The King's Speech."
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a7d224819080d9a638e08bb8a8 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b325033aa88190a6b54b767f83fa24 completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:11 p.m.