Triple

T3126801
Position Surface form Disambiguated ID Type / Status
Subject Chris Martin E65315 entity
Predicate notableWork P4 FINISHED
Object Yellow E234234 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: Yellow | Statement: [Chris Martin, notableWork, Yellow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yellow
Context triple: [Chris Martin, notableWork, Yellow]
  • A. Yellow chosen
    "Yellow" is a breakthrough 2000 alternative rock song by British band Coldplay, known for its emotive lyrics, atmospheric guitar sound, and role in launching the group to international fame.
  • B. Orange
    Orange is a historic town in southeastern France best known for giving its name and origin to the Dutch royal House of Orange-Nassau.
  • C. Orange
    Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
  • D. Orange
    Orange is a small suburban village in Cuyahoga County, Ohio, known for its residential character and proximity to the Cleveland metropolitan area.
  • E. Orange
    Orange is a citrus-flavored sports drink variety known for its bright, tangy taste and association with energy and hydration.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada544cb648190b5ed430dbd561d52 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7926248190b8f08e3a626e8eab completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.