Triple

T11049639
Position Surface form Disambiguated ID Type / Status
Subject The Good Son E261211 entity
Predicate starring P1507 FINISHED
Object Wendy Crewson E714789 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: Wendy Crewson | Statement: [The Good Son, starring, Wendy Crewson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendy Crewson
Context triple: [The Good Son, starring, Wendy Crewson]
  • A. Wendy Crewson chosen
    Wendy Crewson is a Canadian actress known for her work in film and television, including prominent roles in family comedies and dramatic series.
  • B. Wendy Neuss
    Wendy Neuss is an American television producer best known for her work on Star Trek-related projects and for her past marriage to actor Patrick Stewart.
  • C. Jessica Congdon
    Jessica Congdon is a filmmaker and editor best known for her work producing the documentary "Miss Representation," which examines the portrayal of women in the media.
  • D. Wendy Haas
    Wendy Haas is an American musician and vocalist known for her work with bands like Santana and Azteca, as well as for her marriage to actor-comedian Martin Mull.
  • E. Melissa Parmenter
    Melissa Parmenter is a British composer and producer known for her film scores and frequent collaborations with director Michael Winterbottom.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e623e44c188190b5b83cf8f397554c completed April 20, 2026, 1:02 p.m.
Created at: April 8, 2026, 9:26 p.m.