Triple

T11481192
Position Surface form Disambiguated ID Type / Status
Subject John Sharp E272151 entity
Predicate name P16 FINISHED
Object John Sharp E524541 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: John Sharp | Statement: [John Sharp, name, John Sharp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Sharp
Context triple: [John Sharp, name, John Sharp]
  • A. John Sharp chosen
    John Sharp was a British character actor known for his numerous supporting roles in film and television from the 1950s through the 1980s.
  • B. John Sharp
    John Sharp was an English clergyman and theologian known for his influential sermons and religious writings in the late 17th and early 18th centuries.
  • C. James Sharp
    James Sharp is a relatively obscure individual whose primary distinguishing feature is sharing the surname associated with the broader Sharp family name.
  • D. Alan Sharp
    Alan Sharp was a Scottish novelist and acclaimed screenwriter known for his complex, character-driven scripts in films such as "The Hired Hand" and "Night Moves."
  • E. Martin Sharp
    Martin Sharp is a disillusioned former television presenter whose failed suicide attempt leads him to form an unlikely bond with three other strangers in the dark comedy-drama film "A Long Way Down."
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1d86b88190b180f6b0d0a27029 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee866bb71c819091573965f7cf0dee completed April 26, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:36 p.m.