Triple

T14226502
Position Surface form Disambiguated ID Type / Status
Subject Two on the Aisle E352630 entity
Predicate lyricist P1360 FINISHED
Object Adolph Green E71773 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: Adolph Green | Statement: [Two on the Aisle, lyricist, Adolph Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adolph Green
Context triple: [Two on the Aisle, lyricist, Adolph Green]
  • A. Adolph Green chosen
    Adolph Green was an American playwright, lyricist, and screenwriter best known for his long collaboration with Betty Comden on classic Broadway musicals and Hollywood films.
  • B. Otto Hunte
    Otto Hunte was a prominent German film art director and production designer best known for his influential work on classic Weimar-era films, including Fritz Lang’s Metropolis.
  • C. Lewis Allen
    Lewis Allen was a British-born film and television director best known for his atmospheric work in mid-20th-century Hollywood cinema.
  • D. Lewis Allen
    Lewis Allen was a local figure of significance after whom the city of Allen Park, Michigan, was named.
  • E. Henry Bergner
    Henry Bergner is the central protagonist of the film "Between Two Worlds," whose experiences and choices drive the story’s emotional and narrative arc.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6228e53c8190abbe4e2d88a7362a completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea59d27bc81908ace0b7db9f57215 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 1:07 a.m.