Triple

T13645072
Position Surface form Disambiguated ID Type / Status
Subject Miss Piggy E326080 entity
Predicate associatedWith P37 FINISHED
Object Scooter E326089 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: Scooter | Statement: [Miss Piggy, associatedWith, Scooter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scooter
Context triple: [Miss Piggy, associatedWith, Scooter]
  • A. Scooter chosen
    Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
  • B. Scooter
    "Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • C. SCOOTER
    SCOOTER is the radio callsign used by the airline Scoot for its flight operations and air traffic communications.
  • D. Scrambler
    Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
  • E. Scooter Barry
    Scooter Barry is an American former professional basketball player best known for his college career at the University of Kansas and as a member of the prominent Barry basketball family.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af948408190bca7f2e46863391e completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.