Triple

T12383200
Position Surface form Disambiguated ID Type / Status
Subject Sedbergh School E295792 entity
Predicate hasAlumni P51 FINISHED
Object Tommy Taylor unclear NED1 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: Tommy Taylor | Statement: [Sedbergh School, hasAlumni, Tommy Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Taylor
Context triple: [Sedbergh School, hasAlumni, Tommy Taylor]
  • A. Tommy Taylor
    Tommy Taylor was an English footballer and prolific centre-forward for Manchester United and the England national team in the 1950s.
  • B. Tommy Taylor
    Tommy Taylor is a professional rugby union player known for his role as a hooker, including stints in top domestic leagues and international representation with England.
  • C. Tommy Griffin
    Tommy Griffin is an American former basketball player and coach best known as the father of NBA star Blake Griffin.
  • D. Tommy Aldridge
    Tommy Aldridge is an American hard rock and heavy metal drummer renowned for his powerful double-bass technique and work with bands such as Whitesnake and Ozzy Osbourne.
  • E. Tommy Gormley
    Tommy Gormley is a Scottish film assistant director and producer known for his work on major Hollywood productions such as "Star Trek" and "Star Wars: The Force Awakens."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbc3f608190b0ee3c4f304a94db completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac78c5c81909fb3d63bc6c9cc01 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.