Triple

T12395782
Position Surface form Disambiguated ID Type / Status
Subject Here, My Dear E296110 entity
Predicate track P17929 FINISHED
Object Sparrow E952416 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: Sparrow | Statement: [Here, My Dear, track, Sparrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparrow
Context triple: [Here, My Dear, track, Sparrow]
  • A. Sparrow
    Sparrow is a recurring character in Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," known for her involvement in the strip’s interconnected lesbian and queer community.
  • B. Sparrow
    Sparrow is the internal codename for the Atari Falcon, a 1990s personal computer known for its advanced audio and graphics capabilities.
  • C. Sparrow chosen
    "Sparrow" is a gentle, folk-influenced song by Simon & Garfunkel, known for its poetic lyrics and delicate vocal harmonies.
  • D. Pidgeon
    Pidgeon is a surname most notably associated with Canadian-American actor Walter Pidgeon, a prominent film star of Hollywood’s classic era.
  • E. Bartholomew Sparrows
    Bartholomew Sparrows is a political scientist and professor known for his scholarship on American political development and public policy.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd33f048190b205fd21dc513f6a completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347e27b4819085494babfe180488 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.