Triple

T12060023
Position Surface form Disambiguated ID Type / Status
Subject Torrey C. Brown E287141 entity
Predicate familyName P18 FINISHED
Object Brown E101694 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: Brown | Statement: [Torrey C. Brown, familyName, Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brown
Context triple: [Torrey C. Brown, familyName, Brown]
  • A. Brown chosen
    Brown is a common English-language surname of Anglo-Saxon origin, typically derived from a nickname referring to hair color, complexion, or clothing.
  • B. Grey
    Grey is a common English surname borne by numerous notable figures across entertainment, politics, and history.
  • C. Grey
    Grey is a vast rural federal electoral division in South Australia, covering much of the state's northern and western regions.
  • D. Grey
    "Grey" is a track from Travis Scott’s 2014 mixtape *Days Before Rodeo*, showcasing his atmospheric, moody production and introspective lyrics.
  • E. Beige
    Beige is a young adult novel by Cecil Castellucci that explores themes of identity, family, and punk culture through the story of a reserved teen sent to spend the summer with her estranged musician father in Los Angeles.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f651641c8190bfd1d4d228a36209 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.