Triple

T20286175
Position Surface form Disambiguated ID Type / Status
Subject Crow and Mama E509880 entity
Predicate partOf P40 FINISHED
Object Crow NE NERFINISHED

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: Crow | Statement: [Crow and Mama, partOf, Crow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crow
Context triple: [Crow and Mama, partOf, Crow]
  • A. Crow
    The Crow are a Native American tribe of the Great Plains, historically known as skilled horsemen and buffalo hunters centered in what is now Montana.
  • B. Crow
    Crow is a common English surname shared by various notable individuals, including the American singer-songwriter Sheryl Crow.
  • C. Crow
    Crow is a character named Crow Tyrannosaurus, likely depicted as a distinctive or humorous figure associated with that unusual full name.
  • D. Crow
    "Crow" is a dark, experimental poetry collection by Ted Hughes that follows the mythic figure of Crow through violent, surreal explorations of creation, suffering, and the human condition.
  • E. Crows
    Crows is the common short name for the Adelaide Crows, a professional Australian rules football club based in Adelaide that competes in the Australian Football League (AFL).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e676924f48819095f6224c8d9bb257 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 11:06 a.m.