Triple

T14637759
Position Surface form Disambiguated ID Type / Status
Subject 99 Homes E343649 entity
Predicate composer P1361 FINISHED
Object Anthony Partos E498668 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: Anthony Partos | Statement: [99 Homes, composer, Anthony Partos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Partos
Context triple: [99 Homes, composer, Anthony Partos]
  • A. Antony Partos chosen
    Antony Partos is an Australian screen composer best known for his atmospheric, award-winning scores for film and television.
  • B. Anthony Hudson
    Anthony Hudson is an American-English football manager and former player known for coaching national teams including New Zealand and the United States (as interim head coach).
  • C. Tony Worthington
    Tony Worthington is a notable individual who shares the surname Worthington and has achieved sufficient prominence to be specifically recognized by name.
  • D. David Scutt
    David Scutt is an illustrator and cover artist known for creating the cover art for works such as the James Bond novel "The Man with the Red Tattoo."
  • E. Frank Vosper
    Frank Vosper was a British actor and playwright active in the early 20th century, known for his stage work and appearances in classic British 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aca6448190adf1042dfbfef716 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda934ec3c81909eb3c3a54260436b completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.