Triple

T16465932
Position Surface form Disambiguated ID Type / Status
Subject The Five Doctors E399931 entity
Predicate musicBy P1952 FINISHED
Object Peter Howell E753544 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: Peter Howell | Statement: [The Five Doctors, musicBy, Peter Howell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Howell
Context triple: [The Five Doctors, musicBy, Peter Howell]
  • A. Peter Howell chosen
    Peter Howell is a British composer and musician best known for his work on the BBC science-fiction series Doctor Who, particularly his electronic arrangement of the show's theme in the 1980s.
  • B. Ryan Howell
    Ryan Howell is a personal name shared by multiple individuals, including professionals in fields such as sports, academia, and entertainment.
  • C. Sam Harper
    Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
  • D. Sam Drake
    Sam Drake is a seasoned treasure hunter and the older brother of protagonist Nathan Drake in the Uncharted video game series.
  • E. Aaron Conners
    Aaron Conners is the charming sports doctor who becomes the central romantic partner to Amy Schumer’s character in the comedy film "Trainwreck."
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcc52f88190958b408e49cfb512 completed April 18, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f575ed48190a24d6af74565189d completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.