Triple

T3872398
Position Surface form Disambiguated ID Type / Status
Subject Red Bird E92416 entity
Predicate ethnicity P194 FINISHED
Object Winnebago E83015 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: Winnebago | Statement: [Red Bird, ethnicity, Winnebago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winnebago
Context triple: [Red Bird, ethnicity, Winnebago]
  • A. Winnebago chosen
    Winnebago is the former English name for the Ho-Chunk, a Native American people originally from the Wisconsin and Illinois region.
  • B. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • C. Oshkosh Racey
    Oshkosh Racey is a celebrated American racing greyhound renowned for his exceptional track performance and status as one of the sport’s notable champions.
  • D. Mack
    Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
  • E. Chevrolet Kodiak
    The Chevrolet Kodiak is a line of medium-duty commercial trucks produced by General Motors, commonly used for vocational applications such as construction, towing, and delivery.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec5691148190b469af0bee9154db completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c83512c81908db2e442b7d2aca0 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:20 p.m.