Triple

T14600203
Position Surface form Disambiguated ID Type / Status
Subject Kingdom (TV series score) E342683 entity
Predicate composer P1361 FINISHED
Object Tyler Bates E68662 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: Tyler Bates | Statement: [Kingdom (TV series score), composer, Tyler Bates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyler Bates
Context triple: [Kingdom (TV series score), composer, Tyler Bates]
  • A. Tyler Bates chosen
    Tyler Bates is an American composer best known for his dynamic film and television scores, including work on action franchises like John Wick and superhero films such as Guardians of the Galaxy.
  • B. Gyasi Zardes
    Gyasi Zardes is an American professional soccer forward known for his time with the LA Galaxy in Major League Soccer and for representing the United States national team.
  • C. Marcus Raboy
    Marcus Raboy is an American music video and film director known for his work with major hip-hop and R&B artists.
  • D. Aston Matthews
    Aston Matthews is an American rapper known for his gritty West Coast sound and collaborations within the underground hip-hop scene.
  • E. Ryan Heffington
    Ryan Heffington is an acclaimed American choreographer and director known for his distinctive, emotionally charged work in music videos, film, 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a5c72008190a3c4df20480850c9 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 1:25 a.m.