Triple

T5713974
Position Surface form Disambiguated ID Type / Status
Subject Shampoo E125977 entity
Predicate starring P1507 FINISHED
Object Jay Robinson E505786 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: Jay Robinson | Statement: [Shampoo, starring, Jay Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Robinson
Context triple: [Shampoo, starring, Jay Robinson]
  • A. Jay Robinson chosen
    Jay Robinson was an American character actor best known for his flamboyant portrayals of historical and villainous figures in mid-20th-century film and television.
  • B. Roger Robinson
    Roger Robinson is a Trinidad-born British writer and performance poet acclaimed for his powerful explorations of Black experience, community, and social justice.
  • C. Bruce Robinson
    Bruce Robinson is a British filmmaker, screenwriter, and former actor best known for writing and directing the cult black comedy film "Withnail & I."
  • D. Lloyd Robertson
    Lloyd Robertson is a prominent Canadian television journalist and longtime national news anchor best known for his decades of work with CTV News.
  • E. Gordon Heath
    Gordon Heath was an American actor, singer, and director known for his work on stage and in film, as well as for his influential career in Europe, particularly in France.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b6c7c8819095a92f2ccede1197 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a77d6b081908db6e64c5a361282 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.