Triple

T3771990
Position Surface form Disambiguated ID Type / Status
Subject Black Sunday E83218 entity
Predicate screenwriter P2831 FINISHED
Object Kenneth Ross E350234 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: Kenneth Ross | Statement: [Black Sunday, screenwriter, Kenneth Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenneth Ross
Context triple: [Black Sunday, screenwriter, Kenneth Ross]
  • A. Kenneth Ross chosen
    Kenneth Ross is a British screenwriter best known for adapting Frederick Forsyth’s thriller "The Day of the Jackal" for the screen.
  • B. Russell Pearce
    Russell Pearce is an American politician and former Arizona state senator best known for championing hardline immigration legislation, including the controversial SB 1070 law.
  • C. George L. Dahl
    George L. Dahl was a prominent 20th-century American architect known for shaping much of Dallas’s skyline and major civic landmarks.
  • D. Lewis G. Stevenson
    Lewis G. Stevenson was an American politician and public official from Illinois, known for his role in the prominent Stevenson political family.
  • E. James V. Hart
    James V. Hart is an American screenwriter and producer best known for adapting classic literary and fantasy works for film, including projects like "Bram Stoker's Dracula" and "Hook."
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc3219b881908a2f82126f9a679d completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e52bb2d08190b457dd517ff366d7 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:36 p.m.