Triple

T13609048
Position Surface form Disambiguated ID Type / Status
Subject Norm Peterson E325138 entity
Predicate associatedWithPlace P2830 FINISHED
Object Cheers bar E325134 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: Cheers bar | Statement: [Norm Peterson, associatedWithPlace, Cheers bar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheers bar
Context triple: [Norm Peterson, associatedWithPlace, Cheers bar]
  • A. Cheers bar chosen
    Cheers bar is the iconic Boston neighborhood pub that serves as the central gathering place for the characters in the classic television sitcom "Cheers."
  • B. The Rooster Bar
    The Rooster Bar is a legal thriller novel by bestselling American author John Grisham that follows law students entangled in a predatory student-loan and for-profit law school scheme.
  • C. Chat ‘N’ Chill beach bar
    Chat ‘N’ Chill beach bar is a laid-back, open-air beachfront spot in Exuma known for its casual island vibe, fresh conch salad, and opportunities to swim with friendly stingrays.
  • D. All Bar One
    All Bar One is a UK-based chain of stylish city-centre bars known for serving cocktails, wine, and modern pub food in a contemporary setting.
  • E. Bacchus Lounge
    Bacchus Lounge is a themed bar and lounge within the Shanghai Disneyland Hotel offering drinks and light refreshments in a relaxed, Disney-inspired setting.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f98286c8190a866b5edc21f1225 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.