Triple

T13269970
Position Surface form Disambiguated ID Type / Status
Subject Otto's Army E316028 entity
Predicate cheersFor P5280 FINISHED
Object Syracuse Orange E231721 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: Syracuse Orange | Statement: [Otto's Army, cheersFor, Syracuse Orange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syracuse Orange
Context triple: [Otto's Army, cheersFor, Syracuse Orange]
  • A. Syracuse Orange chosen
    Syracuse Orange is the collective name for the athletic teams representing Syracuse University in NCAA Division I sports.
  • B. NYU Violets
    NYU Violets is the collective name for the athletic teams representing New York University in intercollegiate sports.
  • C. Cornell Big Red
    Cornell Big Red is the collective name for the varsity athletic teams representing Cornell University in NCAA Division I competition.
  • D. Syracuse University
    Syracuse University is a private research university in Syracuse, New York, known for its strong programs in communications, public affairs, and law.
  • E. NYU Bobcat
    The NYU Bobcat is the official costumed mascot of New York University, representing the school’s athletic teams and campus spirit.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901f59888190b8147836d2fcac5e completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7305e1d70819096ff9784e9fafde9 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:26 p.m.