Triple

T2189685
Position Surface form Disambiguated ID Type / Status
Subject Shallow E49831 entity
Predicate composer P1361 FINISHED
Object Andrew Wyatt E160316 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: Andrew Wyatt | Statement: [Shallow, composer, Andrew Wyatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Wyatt
Context triple: [Shallow, composer, Andrew Wyatt]
  • A. Andrew Wyatt chosen
    Andrew Wyatt is an American musician, songwriter, and producer best known for his work with the band Miike Snow and for co-writing and producing hit pop songs for major artists.
  • B. Andrew Wyke
    Andrew Wyke is a wealthy, manipulative crime novelist whose elaborate mind games drive the psychological thriller at the heart of the film "Sleuth" (1972).
  • C. John Hudson
    John Hudson is a distinguished geologist recognized for his significant contributions to the field, as evidenced by honors such as the William Smith Medal.
  • D. John Hudson
    John Hudson was one of the sons of the English explorer Henry Hudson, who is believed to have accompanied his father on his final, ill-fated voyage in search of a Northwest Passage.
  • E. Richard Wattis
    Richard Wattis was a British character actor known for his dry, officious comedic roles in mid-20th-century films and television.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf38f70081909f442eed226a282e completed March 7, 2026, 6:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db0352c8190aa9c4c58460df3a4 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:46 p.m.