Triple

T15492294
Position Surface form Disambiguated ID Type / Status
Subject Frank Currier E378718 entity
Predicate notableWork P4 FINISHED
Object The Red Mill E491727 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: The Red Mill | Statement: [Frank Currier, notableWork, The Red Mill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Red Mill
Context triple: [Frank Currier, notableWork, The Red Mill]
  • A. The Red Mill chosen
    The Red Mill is a 1906 Broadway comic operetta with music by Victor Herbert that became one of his most popular and frequently revived stage works.
  • B. The Secret of the Old Mill
    The Secret of the Old Mill is an early mystery novel in the Hardy Boys series in which teenage sleuths Frank and Joe Hardy investigate counterfeit money and strange happenings at a local mill.
  • C. Red Mill
    Red Mill is the English name for the famous Parisian cabaret "Moulin Rouge," renowned for its iconic red windmill and can-can performances.
  • D. The Ghost in the Mill
    "The Ghost in the Mill" is a short ghost story by Harriet Beecher Stowe that blends New England folklore with moral and religious themes.
  • E. Coming from the Mill
    Coming from the Mill is a famous industrial landscape painting by L. S. Lowry depicting crowds of workers leaving a factory in a stylized, northern English mill town scene.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:49 a.m.