Triple

T2487176
Position Surface form Disambiguated ID Type / Status
Subject Body of Lies E55952 entity
Predicate starring P1507 FINISHED
Object Russell Crowe E4560 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: Russell Crowe | Statement: [Body of Lies, starring, Russell Crowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell Crowe
Context triple: [Body of Lies, starring, Russell Crowe]
  • A. Russell Crowe chosen
    Russell Crowe is an Academy Award–winning New Zealand–born actor renowned for intense, transformative performances in films such as Gladiator and A Beautiful Mind.
  • B. 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."
  • C. Eric Bana
    Eric Bana is an Australian actor known for his versatile performances in films such as "Hulk," "Munich," and "Troy."
  • D. Ben Mendelsohn
    Ben Mendelsohn is an Australian actor known for his intense character roles in film and television, including prominent villains in major Hollywood productions.
  • E. Gerard Butler
    Gerard Butler is a Scottish actor and film producer best known for his leading roles in action and drama films such as "300," "Olympus Has Fallen," and "The Phantom of the Opera."
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1782ca081909645164a6acf0ea0 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17bca6f88190a63672fb3372f0be completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.