Triple

T8498114
Position Surface form Disambiguated ID Type / Status
Subject Ahmed Best E201148 entity
Predicate name P16 FINISHED
Object Ahmed Best E201148 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: Ahmed Best | Statement: [Ahmed Best, name, Ahmed Best]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahmed Best
Context triple: [Ahmed Best, name, Ahmed Best]
  • A. Ahmed Best chosen
    Ahmed Best is an American actor and voice performer best known for portraying the CGI character Jar Jar Binks in the Star Wars prequel trilogy.
  • B. Dougray Scott
    Dougray Scott is a Scottish actor known for his versatile film and television roles, including prominent parts in projects like "Mission: Impossible 2," "Ever After," and various British dramas.
  • C. Hugh Lloyd
    Hugh Lloyd was a British character actor and comedian best known for his work in mid-20th-century film and television, particularly in comic roles.
  • D. Jason Isaacs
    Jason Isaacs is an English actor best known for his roles as Lucius Malfoy in the Harry Potter film series and as a versatile performer in both film and television.
  • E. Mitchell Henry
    Mitchell Henry was a 19th-century British politician, businessman, and newspaper proprietor who played a key role in the early development of regional journalism in Manchester.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe583aebc819090345684bfa1fca2 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e0aa7788190abd7bb259966bc44 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:14 p.m.