Triple

T20032905
Position Surface form Disambiguated ID Type / Status
Subject And She Was E497184 entity
Predicate includedInAlbum P1925 FINISHED
Object Little Creatures 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: Little Creatures | Statement: [And She Was, includedInAlbum, Little Creatures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Creatures
Context triple: [And She Was, includedInAlbum, Little Creatures]
  • A. Little Creatures chosen
    Little Creatures is a 1985 studio album by the American rock band Talking Heads, noted for its more pop-oriented sound and exploration of themes like religion and Americana.
  • B. Little Folks
    "Little Folks" is a jazz composition featured as a track on the album *Jazz in 3/4 Time* by Max Roach.
  • C. Little Child
    "Little Child" is an upbeat rock and roll song by the Beatles, sung primarily by John Lennon and featured on their 1963 album "With the Beatles."
  • D. Little One
    Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
  • E. Little One
    Little One is a track featured on the album "Airtight's Revenge" by Bilal, known for its soulful, introspective 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66293e3908190ade07ba9e09da803 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.