Triple

T16136835
Position Surface form Disambiguated ID Type / Status
Subject Koopa Troop E391550 entity
Predicate hasMember P10 FINISHED
Object Petey Piranha E370318 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: Petey Piranha | Statement: [Koopa Troop, hasMember, Petey Piranha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petey Piranha
Context triple: [Koopa Troop, hasMember, Petey Piranha]
  • A. Petey Piranha chosen
    Petey Piranha is a large, boss-like Piranha Plant character from the Mario series, known for his distinctive leafy body and massive head, who appears as a playable racer in various Mario spin-off games.
  • B. Mr. Piranha
    Mr. Piranha is a hot-headed but good-hearted piranha and expert safe-cracker from the animated heist-comedy franchise "The Bad Guys."
  • C. Tony the Landshark
    Tony the Landshark is the costumed landshark character that serves as the official athletic mascot of the University of Mississippi (Ole Miss).
  • D. Madame Piranha
    Madame Piranha is a villainous female spy and emissary in the 1967 Toho film "King Kong Escapes," known for her scheming alliance with the main antagonist.
  • E. Tark the Shark
    Tark the Shark is the famous nickname of Hall of Fame college basketball coach Jerry Tarkanian, known for his successful and often controversial tenure at UNLV.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a05148c8190bc2b98217fda23cc completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b574148190b9d5b725d7d113af completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.