Triple

T18647852
Position Surface form Disambiguated ID Type / Status
Subject Pat Dye E455850 entity
Predicate familyName P18 FINISHED
Object Dye NE NERFINISHED

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: Dye | Statement: [Pat Dye, familyName, Dye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dye
Context triple: [Pat Dye, familyName, Dye]
  • A. Dye chosen
    Dye is a common English surname of occupational origin, historically associated with people who worked with dyes or colors.
  • B. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • C. Farben
    Farben is the third movement of Arnold Schoenberg's Five Orchestral Pieces, Op. 16, noted for its innovative use of tone color and static harmonies.
  • D. Falben
    Falben is an alternative name for the Cumans, a medieval nomadic Turkic people who inhabited the Eurasian steppe and played a significant role in Eastern European history.
  • E. Earthtone III
    Earthtone III is the in-house production team formed by OutKast members André 3000 and Big Boi with engineer Mr. DJ, known for crafting the duo’s innovative, genre-blending sound.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500f007c81908b1835569be913d7 completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.