Triple

T3106445
Position Surface form Disambiguated ID Type / Status
Subject Nora Barlow E64840 entity
Predicate child P120 FINISHED
Object Martin Barlow E331838 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: Martin Barlow | Statement: [Nora Barlow, child, Martin Barlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Barlow
Context triple: [Nora Barlow, child, Martin Barlow]
  • A. Alan Barlow chosen
    Alan Barlow was the husband of British botanist and editor Nora Barlow, granddaughter and biographer of Charles Darwin.
  • B. Kurt Barlow
    Kurt Barlow is the ancient, malevolent vampire antagonist in Stephen King’s horror novel "Salem’s Lot."
  • C. 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.
  • D. Thomas Lownds
    Thomas Lownds was an 18th-century London publisher best known for issuing the first edition of Horace Walpole’s pioneering Gothic novel "The Castle of Otranto."
  • E. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29beff08190b6e1eb6b0608d0eb completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402b6f23081909aea1345a2938113 completed March 13, 2026, 12:27 p.m.
Created at: March 8, 2026, 3:04 p.m.