Triple

T8207675
Position Surface form Disambiguated ID Type / Status
Subject The Girl from 10th Avenue E191727 entity
Predicate screenwriter P2831 FINISHED
Object Charles Kenyon E229401 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: Charles Kenyon | Statement: [The Girl from 10th Avenue, screenwriter, Charles Kenyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Kenyon
Context triple: [The Girl from 10th Avenue, screenwriter, Charles Kenyon]
  • A. Charles Kenyon chosen
    Charles Kenyon was an American screenwriter active in early Hollywood, known for adapting literary works and contributing to numerous films during the 1920s and 1930s.
  • B. Thomas Mayne
    Thomas Mayne was an Australian food scientist best known for creating the chocolate malted milk drink Milo in the 1930s.
  • C. Robert Keene
    Robert Keene was the husband of American Abstract Expressionist painter Grace Hartigan.
  • D. William Irwin
    William Irwin was a 19th-century American politician who served as Governor of California from 1875 to 1880.
  • E. Vincent Brooks
    Vincent Brooks is a retired U.S. Army general best known for his prominent leadership roles during the Iraq War and his later command of U.S. Forces Korea.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726d26ec8190957da68227f5ce61 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc69b9b8c819082a164433312166e completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:43 p.m.