Triple

T6159425
Position Surface form Disambiguated ID Type / Status
Subject Tony Way E137403 entity
Predicate name P16 FINISHED
Object Tony Way E137403 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: Tony Way | Statement: [Tony Way, name, Tony Way]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Way
Context triple: [Tony Way, name, Tony Way]
  • A. Tony Way chosen
    Tony Way is an English actor, comedian, and writer known for his supporting roles in film and television, including appearances in projects like Game of Thrones and various British comedies.
  • B. David Hare
    David Hare is a prominent British playwright and screenwriter known for his politically charged stage works and acclaimed film adaptations such as "The Hours."
  • C. Alan North
    Alan North was an American character actor known for his roles in film and television, often portraying authority figures such as police officers and military men.
  • D. Christopher Hampton
    Christopher Hampton is a British playwright, screenwriter, and director renowned for his sophisticated adaptations of literary works for stage and film, including the Oscar-winning screenplay for "Dangerous Liaisons."
  • E. David Williamson
    David Williamson is a prominent Australian playwright and screenwriter known for his influential work in theatre and film since the 1970s.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d3445dc8190822954cee90f0dd7 completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419064a48190880005459c86322c completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.