Triple

T23550189
Position Surface form Disambiguated ID Type / Status
Subject Around the Bend E578017 entity
Predicate starring P1507 FINISHED
Object Josh Lucas NE NERFINISHED

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: Josh Lucas | Statement: [Around the Bend, starring, Josh Lucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Lucas
Context triple: [Around the Bend, starring, Josh Lucas]
  • A. Josh Lucas chosen
    Josh Lucas is an American actor known for his roles in films such as "Sweet Home Alabama," "A Beautiful Mind," and "Glory Road," as well as numerous television appearances.
  • B. Joshua Leonard
    Joshua Leonard is an American actor and filmmaker best known for his breakout role in "The Blair Witch Project" and his work in independent film and television.
  • C. Justin Long
    Justin Long is an American actor known for his comedic and romantic comedy roles in films like "Dodgeball," "Accepted," and the "I'm a Mac" Apple commercials.
  • D. Joel David Moore
    Joel David Moore is an American actor and director best known for his roles in films like "Avatar" and the TV series "Bones."
  • E. Guy Williams
    Guy Williams was an American actor best known for his starring roles in the television series "Zorro" and the science-fiction show "Lost in Space."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aece662081909022e7a29f966ca3 completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:11 p.m.