Triple

T9947682
Position Surface form Disambiguated ID Type / Status
Subject University of New Orleans E195244 entity
Predicate mascot P52 FINISHED
Object Captain BrUNO E196454 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: Captain BrUNO | Statement: [University of New Orleans, mascot, Captain BrUNO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Captain BrUNO
Context triple: [University of New Orleans, mascot, Captain BrUNO]
  • A. Captain BrUNO chosen
    Captain BrUNO is the costumed privateer mascot representing the University of New Orleans’ athletic teams.
  • B. Captain Doza
    Captain Doza is a former Imperial officer who serves as the security-minded yet ultimately principled commander of the Colossus platform in the animated series Star Wars Resistance.
  • C. Captain Riga
    Captain Riga is a fictional sea captain who appears as a character in Herman Melville’s novel "Redburn: His First Voyage."
  • D. Captain Blasi
    Captain Blasi is the central military officer protagonist in the film "The Best of Enemies," around whom the story’s main conflict and character dynamics revolve.
  • E. Captain January
    Captain January is a 1936 musical comedy-drama film starring child actress Shirley Temple as an orphan raised by a lighthouse keeper.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb657b35c81909448e93999f6e77c completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257986a648190b72697e4644c9c1c completed April 5, 2026, 12:37 p.m.
Created at: March 30, 2026, 8:45 p.m.