Triple

T14624115
Position Surface form Disambiguated ID Type / Status
Subject Home E343300 entity
Predicate producer P490 FINISHED
Object Patrick Leonard E653043 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: Patrick Leonard | Statement: [Home, producer, Patrick Leonard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Leonard
Context triple: [Home, producer, Patrick Leonard]
  • A. Patrick Leonard chosen
    Patrick Leonard is an American songwriter, keyboardist, and record producer best known for his extensive collaborations with Madonna and his influential work on several of her landmark albums.
  • B. Patrick Leonard MacDougall
    Patrick Leonard MacDougall was a 19th-century British Army officer and military writer known for his contributions to military theory and education.
  • C. Trevor Rabin
    Trevor Rabin is a South African musician and composer best known as the former guitarist of the rock band Yes and as a prolific film score composer.
  • D. Mitchell Froom
    Mitchell Froom is an American record producer and musician known for his innovative, atmospheric work with artists such as Crowded House, Suzanne Vega, and Los Lobos.
  • E. Mick Gordon
    Mick Gordon is an Australian composer and sound designer best known for his heavy, industrial-style scores for video games such as Doom, Wolfenstein, and Prey.
  • 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_69deb468acc4819083b7e818d5cec809 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9288e748190bf65a01803265a73 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.