Triple

T10719139
Position Surface form Disambiguated ID Type / Status
Subject Cam Gigandet E252769 entity
Predicate hasWorkedWith P9615 FINISHED
Object Paul Bettany E23203 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: Paul Bettany | Statement: [Cam Gigandet, hasWorkedWith, Paul Bettany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Bettany
Context triple: [Cam Gigandet, hasWorkedWith, Paul Bettany]
  • A. Paul Bettany
    Paul Bettany is an English actor known for his roles in films such as "A Beautiful Mind" and for portraying Vision in the Marvel Cinematic Universe.
  • B. Brian Michael Cox
    Brian Michael Cox is a Grammy-winning American songwriter and record producer known for his work on numerous R&B and pop hits.
  • C. Richard Armitage
    Richard Armitage is an English actor best known for his role as Thorin Oakenshield in Peter Jackson’s film adaptations of J.R.R. Tolkien’s "The Hobbit."
  • D. Michael Bell
    Michael Bell is an American voice actor known for his extensive work in animated television series, films, and video games since the 1970s.
  • E. William James Pullman
    William James Pullman is an American actor best known for his versatile film and television roles, including playing the U.S. president in the blockbuster movie "Independence Day."
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3722ec8190b2d78a5630bf6efc completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb71dd6f88190beb99ca75914fb09 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.