Triple

T8625817
Position Surface form Disambiguated ID Type / Status
Subject Pierrot le Fou E204277 entity
Predicate colorProcess P3490 FINISHED
Object Eastmancolor E21707 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: Eastmancolor | Statement: [Pierrot le Fou, colorProcess, Eastmancolor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastmancolor
Context triple: [Pierrot le Fou, colorProcess, Eastmancolor]
  • A. Eastmancolor chosen
    Eastmancolor is a color motion picture film process developed by Eastman Kodak that became widely used in the mid-20th century as a more economical alternative to earlier color systems like Technicolor.
  • B. Ricoh
    Ricoh is a Japanese multinational imaging and electronics company best known for its cameras, printers, copiers, and office equipment solutions.
  • C. Ansco Color
    Ansco Color was a mid-20th-century color motion picture film process and stock developed by the Ansco company as an alternative to more dominant systems like Technicolor and Eastmancolor.
  • D. Epson
    Epson is a Japanese electronics company best known for manufacturing printers, imaging equipment, and related information technology devices.
  • E. Yodobashi Camera Co., Ltd.
    Yodobashi Camera Co., Ltd. is a major Japanese consumer electronics retail chain known for its large multi-story stores offering a wide range of electronics, appliances, and related goods.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472a07908190a2368975459543f9 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbf03c688190a989f16675f6e8a6 completed April 2, 2026, 6:56 p.m.
Created at: March 30, 2026, 6:26 p.m.