Triple

T10363839
Position Surface form Disambiguated ID Type / Status
Subject Phoenix Pictures E244199 entity
Predicate notableWork P4 FINISHED
Object The Good Son E261211 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: The Good Son | Statement: [Phoenix Pictures, notableWork, The Good Son]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Good Son
Context triple: [Phoenix Pictures, notableWork, The Good Son]
  • A. The Good Son chosen
    The Good Son is a 1993 psychological thriller film best known for its chilling portrayal of a disturbed child, starring Macaulay Culkin and Elijah Wood.
  • B. The Good Son
    The Good Son is the pilot episode of the television sitcom "Frasier," in which key characters like Daphne Moon are introduced.
  • C. Father to a Son
    Father to a Son is a song by the American rock band Saviors.
  • D. The Good Mother
    The Good Mother is a 1988 American drama film starring Diane Keaton as a divorced woman whose custody of her daughter is threatened amid accusations about her new relationship.
  • E. The Lost Son
    The Lost Son is a dramatic work featuring acclaimed British actress Billie Whitelaw, known for her intense and emotionally charged performances.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e963a6148190822951e72590b9df completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750c2d2748190b871b928d5a094f8 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, noon