Triple

T23253975
Position Surface form Disambiguated ID Type / Status
Subject Lamb E581812 entity
Predicate notableSong P4 FINISHED
Object Cotton Wool 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: Cotton Wool | Statement: [Lamb, notableSong, Cotton Wool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cotton Wool
Context triple: [Lamb, notableSong, Cotton Wool]
  • A. Cotton Wool chosen
    Cotton Wool is a notable work by the artist Lamb, recognized for its delicate, atmospheric sound and emotive style.
  • B. Cotton Crown
    "Cotton Crown" is a song by the American alternative rock band Sonic Youth, known for its dreamy, noise-infused sound and appearance on their 1987 album "Sister."
  • C. Cotton Candy
    "Cotton Candy" is a popular jazz album and title track by trumpeter Al Hirt, showcasing his bright, melodic style in the early 1960s.
  • D. Blanket
    Blanket is the media nickname of Prince Michael Jackson II, the youngest son of pop icon Michael Jackson, who gained public attention as a child through high-profile appearances with his father.
  • E. The Shampoo
    "The Shampoo" is a poem by Elizabeth Bishop noted for its intimate, reflective tone and vivid celestial imagery.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f9d904819097315c9bf031f667 completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:11 p.m.