Triple

T10568360
Position Surface form Disambiguated ID Type / Status
Subject Frank Loesser E249410 entity
Predicate notableWork P4 FINISHED
Object A Bushel and a Peck E516748 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: A Bushel and a Peck | Statement: [Frank Loesser, notableWork, A Bushel and a Peck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Bushel and a Peck
Context triple: [Frank Loesser, notableWork, A Bushel and a Peck]
  • A. A Bushel and a Peck chosen
    "A Bushel and a Peck" is a lighthearted, old-fashioned show tune best known from the Broadway musical *Guys and Dolls* and popularized by several hit recordings in the early 1950s.
  • B. The Farmer
    The Farmer is a lost comedic play by the ancient Greek playwright Philemon, who was a prominent figure of New Comedy.
  • C. The Fat of the Land
    "The Fat of the Land" is a humorous short story by P. G. Wodehouse set around the Drones Club and its eccentric members.
  • D. The Harvest
    The Harvest is an Impressionist painting by Camille Pissarro depicting rural agricultural laborers working in the fields.
  • E. The Harvest
    The Harvest is a landscape painting by French Barbizon school artist Charles-François Daubigny, depicting rural agricultural life with his characteristic naturalistic light and atmosphere.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ff53c8190ae7c399d49b585f5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b4c26ec8190910efdf4a236d654 completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:37 p.m.