Triple

T14351638
Position Surface form Disambiguated ID Type / Status
Subject Judging Amy E355865 entity
Predicate hasProtagonist P8706 FINISHED
Object Amy Gray E1097741 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: Amy Gray | Statement: [Judging Amy, hasProtagonist, Amy Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Gray
Context triple: [Judging Amy, hasProtagonist, Amy Gray]
  • A. Amy Gray chosen
    Amy Gray is the central character of the legal drama series "Judging Amy," portrayed as a family court judge balancing her demanding career with single motherhood and complex family relationships.
  • B. Laura Grey
    Laura Grey is an American comedian, writer, and actress known for her work on satirical television and sketch comedy, as well as her collaborations with fellow comedian Jordan Klepper.
  • C. Rose Gray
    Rose Gray was a renowned British chef and restaurateur, best known as co-founder of London's River Café and for her influential modern Italian cookbooks.
  • D. Gina Gray
    Gina Gray is a character in the television series "Peaky Blinders," known as the ambitious and sharp-tongued wife of Michael Gray who becomes increasingly involved in the Shelby family's criminal affairs.
  • E. Coleen Gray
    Coleen Gray was an American film and television actress best known for her roles in classic 1940s and 1950s noir and Western films.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4e1e588190bdc7aaf7a2819948 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bbd7cb881908b33b3aae4243f2e completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:14 a.m.