Triple

T23305337
Position Surface form Disambiguated ID Type / Status
Subject Peter Zizzo E590420 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object O-Town NE NERFINISHED

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: O-Town | Statement: [Peter Zizzo, hasCollaboratedWith, O-Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O-Town
Context triple: [Peter Zizzo, hasCollaboratedWith, O-Town]
  • A. O-Town
    O-Town is a popular nickname for the city of Orlando, Florida, often used in local culture and media.
  • B. O-Town chosen
    O-Town is an American boy band formed on the reality TV series "Making the Band," known for early-2000s pop hits like "Liquid Dreams" and "All or Nothing."
  • C. B-Town
    B-Town is a common nickname for Bloomington, Indiana, a vibrant Midwestern college city best known as the home of Indiana University.
  • D. Wondertown
    Wondertown is a themed area or attraction within the New West Motel, likely designed to offer guests an immersive, entertainment-focused experience.
  • E. Avenue H
    Avenue H is a street in Brooklyn, New York City, known for running through neighborhoods such as Midwood and East Flatbush and serving residential and local commercial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19725b248819089e61efb82e3440f completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.