Triple

T21960868
Position Surface form Disambiguated ID Type / Status
Subject Judd Garrett E542322 entity
Predicate employer P7 FINISHED
Object St. Louis Rams 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: St. Louis Rams | Statement: [Judd Garrett, employer, St. Louis Rams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Louis Rams
Context triple: [Judd Garrett, employer, St. Louis Rams]
  • A. Los Angeles Rams chosen
    The Los Angeles Rams are a professional American football team in the NFL known for their multiple Super Bowl appearances and championships.
  • B. Rams
    Rams is the short name for the Regina Rams, a Canadian university football team representing the University of Regina.
  • C. Rams
    The Rams are the athletic teams representing Colorado State University in NCAA Division I sports.
  • D. Rams
    The Rams are the sports teams representing King Country, commonly known by this nickname in regional competitions.
  • E. Rams
    Rams is the nickname of the Adelaide Rams, a former professional rugby league team based in Adelaide, South Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12455e99c819092ec59fe571f814e completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8 p.m.