Triple

T7655401
Position Surface form Disambiguated ID Type / Status
Subject John Owen Lowe E173366 entity
Predicate sibling P363 FINISHED
Object Matthew Lowe E157586 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: Matthew Lowe | Statement: [John Owen Lowe, sibling, Matthew Lowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Lowe
Context triple: [John Owen Lowe, sibling, Matthew Lowe]
  • A. Matthew Edward Lowe chosen
    Matthew Edward Lowe is an American television personality and occasional actor best known as the son of actor Rob Lowe, with whom he has appeared on reality and documentary-style shows.
  • B. Scott Barlow
    Scott Barlow is an Australian businessman best known for his long-term leadership role as chairman and major stakeholder of A-League football club Sydney FC.
  • C. Troy Barlow
    Troy Barlow is a U.S. Army reservist and one of the central soldiers in the 1999 war film "Three Kings," portrayed by Mark Wahlberg.
  • D. Darren Morfitt
    Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
  • E. Eric McLeod
    Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018ea3688190907c3ac7d25e3da6 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89afd1438819080c8f097df1d1453 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:59 p.m.