Triple

T1915588
Position Surface form Disambiguated ID Type / Status
Subject Charles Spencer Crowe E40009 entity
Predicate father P120 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: [Charles Spencer Crowe, father, Russell Crowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell Crowe
Context triple: [Charles Spencer Crowe, father, 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e517e8819086e4bf5a305aeb25 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3da81308190a49844a8ac2997da completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.