Triple

T22462879
Position Surface form Disambiguated ID Type / Status
Subject Red Guide E555272 entity
Predicate associatedBrand P1500 FINISHED
Object Michelin Man 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: Michelin Man | Statement: [Red Guide, associatedBrand, Michelin Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelin Man
Context triple: [Red Guide, associatedBrand, Michelin Man]
  • A. Bibendum chosen
    Bibendum, also known as the Michelin Man, is the iconic, rotund white mascot of the Michelin tire company and one of the world’s oldest and most recognizable brand characters.
  • B. Marcel
    Marcel is an American country music singer-songwriter who recorded for the Nashville-based label Lyric Street Records.
  • C. Marcel
    Marcel is a masculine given name of French origin, commonly used in various European countries.
  • D. Luxans
    Luxans are a proud, warrior-like alien species in the science fiction television series Farscape, known for their strict honor code, distinctive facial ridges, and formidable combat skills.
  • E. Patou
    Patou is a historic French fashion house known for its elegant ready-to-wear collections and refined Parisian style.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b80983081908084947b2e31c9d4 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.