Triple

T15368421
Position Surface form Disambiguated ID Type / Status
Subject In Your Eyes E367474 entity
Predicate hasMaleProtagonist P79722 FINISHED
Object Dylan Kershaw E1160400 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: Dylan Kershaw | Statement: [In Your Eyes, hasMaleProtagonist, Dylan Kershaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dylan Kershaw
Context triple: [In Your Eyes, hasMaleProtagonist, Dylan Kershaw]
  • A. Dylan Kershaw chosen
    Dylan Kershaw is the central protagonist of the film "In Your Eyes," around whom the story’s emotional and narrative developments revolve.
  • B. Dylan Edmonds
    Dylan Edmonds is the son of American television producer and businesswoman Tracey Edmonds.
  • C. Dylan Gelula
    Dylan Gelula is an American actress known for her work in independent films and television comedies, often portraying offbeat, deadpan characters.
  • D. Dylan Sellers
    Dylan Sellers is an American film producer known for working on major Hollywood projects, including the 2011 remake of "Footloose."
  • E. Dylan Massett
    Dylan Massett is a central character in the psychological horror drama series "Bates Motel," portrayed as Norman Bates' troubled half-brother who becomes entangled in the family's dark secrets and criminal activities.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d3eb6388190ba269350dbe7dfbc completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:18 a.m.