Triple

T19790259
Position Surface form Disambiguated ID Type / Status
Subject Sandra E475390 entity
Predicate notableWork P4 FINISHED
Object Little Girl 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 Girl | Statement: [Sandra, notableWork, Little Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Girl
Context triple: [Sandra, notableWork, Little Girl]
  • A. Little Girl chosen
    "Little Girl" is a song featured on the album *Comfort Me*, likely contributing an emotional or introspective tone to the record.
  • B. Little Girls
    "Little Girls" is a controversial new wave song by American band Oingo Boingo, known for its darkly satirical lyrics and upbeat, quirky musical style.
  • C. Little Girls
    "Little Girls" is a darkly comedic song from the musical Annie, sung by the villainous Miss Hannigan as she laments having to care for the orphaned girls.
  • D. 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."
  • E. Sweet Little Girl
    "Sweet Little Girl" is a soulful R&B song by Stevie Wonder from his influential 1972 album *Music of My Mind*.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6538ae5108190b80eb7de6f445f02 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.