Triple

T12224846
Position Surface form Disambiguated ID Type / Status
Subject Operation Petticoat E291322 entity
Predicate storyBy P1955 FINISHED
Object Joseph Stone E972731 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: Joseph Stone | Statement: [Operation Petticoat, storyBy, Joseph Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Stone
Context triple: [Operation Petticoat, storyBy, Joseph Stone]
  • A. Joseph Stone chosen
    Joseph Stone was a screenwriter best known for his work on the classic 1959 submarine comedy film "Operation Petticoat."
  • B. Michael Stone
    Michael Stone is a common name shared by several notable individuals, including professionals in fields such as politics, sports, academia, and the arts.
  • C. Joseph Anderson
    Joseph Anderson was an early American politician and jurist who served as a U.S. Senator from Tennessee in the late 18th and early 19th centuries.
  • D. Louis Morrison
    Louis Morrison is an actor known for his role in the silent-era film "The Twin Pawns."
  • E. Thomas Mitchell Morris
    Thomas Mitchell "Old Tom" Morris was a pioneering 19th-century Scottish golfer and greenkeeper, widely regarded as one of the founding figures of modern golf and a multiple Open Championship winner.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5c1c988190a80917dfe782a6b6 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.