Triple

T9623320
Position Surface form Disambiguated ID Type / Status
Subject Emily Hughes E232396 entity
Predicate relative P37 FINISHED
Object Matt Hughes E213615 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: Matt Hughes | Statement: [Emily Hughes, relative, Matt Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Hughes
Context triple: [Emily Hughes, relative, Matt Hughes]
  • A. Matt Hughes chosen
    Matt Hughes is a retired American mixed martial artist widely regarded as one of the greatest welterweights in UFC history, known for his dominant wrestling and multiple championship reigns.
  • B. Brent Hughes
    Brent Hughes is a Canadian ice hockey executive and former player who has served in leadership roles such as general manager for minor professional teams like the Brampton Beast.
  • C. Jimmy Hughes
    Jimmy Hughes is a central character on the sitcom "Yes, Dear," portrayed as a well-meaning but often overwhelmed young father and husband navigating everyday family chaos.
  • D. Aaron Hughes
    Aaron Hughes is a retired Northern Irish defender known for his long, consistent club career in the English Premier League and his record number of caps for the Northern Ireland national team.
  • E. Matt Hulett
    Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad650a4819096258665bc3f410b completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1797ab3d4819088da04fd5d00386b completed April 4, 2026, 8:50 p.m.
Created at: March 30, 2026, 8:10 p.m.