Triple

T863657
Position Surface form Disambiguated ID Type / Status
Subject Chronicles: Volume One E18651 entity
Predicate audiobookNarrator P2181 FINISHED
Object Sean Penn E48073 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: Sean Penn | Statement: [Chronicles: Volume One, audiobookNarrator, Sean Penn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Penn
Context triple: [Chronicles: Volume One, audiobookNarrator, Sean Penn]
  • A. Sean Penn chosen
    Sean Penn is an acclaimed American actor and filmmaker known for his intense, character-driven performances and multiple major awards, including two Academy Awards for Best Actor.
  • B. Brad Pitt
    Brad Pitt is an American actor and film producer renowned for his leading roles in major Hollywood films and for winning multiple Academy Awards.
  • C. 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."
  • D. Forest Whitaker
    Forest Whitaker is an Academy Award–winning American actor, director, and producer known for his intense, nuanced performances in films such as "The Last King of Scotland."
  • E. Gary Sinise
    Gary Sinise is an American actor and director best known for his acclaimed roles in films like "Forrest Gump" and "Apollo 13," as well as for his extensive philanthropic work supporting military veterans.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac6956488190a5644cdd5b55684f completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7edfe79bc8190bcfb89f4bbc1feb4 completed March 4, 2026, 8:31 a.m.
Created at: March 1, 2026, 7:39 p.m.