Triple

T14943832
Position Surface form Disambiguated ID Type / Status
Subject Murphy Brown E372600 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: [Murphy Brown, familyName, Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brown
Context triple: [Murphy 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9078508190b5cbfe84125ba209 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:38 a.m.