Triple

T10070724
Position Surface form Disambiguated ID Type / Status
Subject Matt Hughes E213615 entity
Predicate hasSibling P363 FINISHED
Object Mark Hughes E330094 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: Mark Hughes | Statement: [Matt Hughes, hasSibling, Mark Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Hughes
Context triple: [Matt Hughes, hasSibling, Mark Hughes]
  • A. Mark Hughes chosen
    Mark Hughes is a former Welsh professional footballer and manager best known as a prolific striker for Manchester United and as a key figure for the Wales national team.
  • B. Yosser Hughes
    Yosser Hughes is a fictional, unemployed Liverpudlian laborer from the British TV drama "Boys from the Blackstuff," known for his desperate catchphrase "Gizza job."
  • C. Billy Sharp
    Billy Sharp is an English professional footballer best known as a prolific striker, particularly for his goal-scoring exploits with Sheffield United.
  • D. Ian Holloway
    Ian Holloway is an English football manager and former midfielder best known for his colorful personality and spells in charge of clubs such as Blackpool, Crystal Palace, and Queens Park Rangers.
  • E. David James
    David James was an engineer and entrepreneur best known as a co-founder of the pioneering semiconductor company Signetics.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcffa045c8190a08db0bb74cb006a completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aa05cc881909f59178e9c6c01ef completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:59 p.m.