Triple

T11532802
Position Surface form Disambiguated ID Type / Status
Subject Brown Bears athletics E273464 entity
Predicate hasTeamName P744 FINISHED
Object Brown Bears E142627 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 Bears | Statement: [Brown Bears athletics, hasTeamName, Brown Bears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brown Bears
Context triple: [Brown Bears athletics, hasTeamName, Brown Bears]
  • A. Brown Bears chosen
    The Brown Bears are the varsity athletic teams that represent Brown University in collegiate sports competitions.
  • B. Black Bears
    The Black Bears are the athletic teams representing the University of Maine in collegiate sports.
  • C. Grizzly Bear
    Grizzly Bear is an American indie rock band known for its intricate harmonies, experimental arrangements, and critically acclaimed albums such as "Veckatimest."
  • D. Black Bear
    "Black Bear" is a traditional Scottish bagpipe march widely associated with military regiments and ceremonial occasions.
  • E. Black Bear
    Black Bear is a 2020 psychological drama film that blends dark comedy and meta-narrative elements, starring Aubrey Plaza as a filmmaker entangled in a tense, reality-blurring relationship triangle.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839a2c7081909c285d1f6beb971c completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e68577f5ec8190a46687119d288a36 completed April 20, 2026, 7:58 p.m.
Created at: April 8, 2026, 9:37 p.m.