Triple

T10101633
Position Surface form Disambiguated ID Type / Status
Subject Henry King E216215 entity
Predicate name P16 FINISHED
Object Henry King E216215 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: Henry King | Statement: [Henry King, name, Henry King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry King
Context triple: [Henry King, name, Henry King]
  • A. Henry King chosen
    Henry King was a prominent American film director of Hollywood’s classic era, known for his work on acclaimed dramas and literary adaptations.
  • B. Charles Farrell
    Charles Farrell was an American film actor best known as a popular romantic leading man of the late silent and early sound era, frequently paired on screen with Janet Gaynor.
  • C. Lloyd Bacon
    Lloyd Bacon was an American film director and actor best known for his prolific work in Hollywood during the 1920s–1940s, including numerous musicals and comedies for Warner Bros.
  • D. John Spottiswoode
    John Spottiswoode was a 16th-century Scottish minister and theologian who became Archbishop of St Andrews and a leading figure in the early Church of Scotland.
  • E. Allan Dwan
    Allan Dwan was a pioneering Canadian-born American film director and producer whose prolific career spanned the silent and early sound eras of Hollywood cinema.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd099c21c819097aac4f0f168a2da completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6d3efec8190b1432ca614aeb334 completed April 5, 2026, 7:24 p.m.
Created at: March 30, 2026, 9:02 p.m.