Triple

T22863395
Position Surface form Disambiguated ID Type / Status
Subject Ladies and Gentlemen... the Grateful Dead E566984 entity
Predicate includesSong P7178 FINISHED
Object China Cat Sunflower 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: China Cat Sunflower | Statement: [Ladies and Gentlemen... the Grateful Dead, includesSong, China Cat Sunflower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Cat Sunflower
Context triple: [Ladies and Gentlemen... the Grateful Dead, includesSong, China Cat Sunflower]
  • A. China Cat Sunflower chosen
    "China Cat Sunflower" is a psychedelic rock song by the Grateful Dead, known for its vivid, surreal lyrics and intricate, improvisational guitar work, often paired live with "I Know You Rider."
  • B. Beans the Cat
    Beans the Cat is a classic Warner Bros. cartoon character from the 1930s Merrie Melodies era, known for his early appearances alongside Porky Pig.
  • C. Catz
    Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
  • D. Catz
    Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
  • E. Catz
    Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eff1c18819081dc9dfc1816f746 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.