Triple

T12698994
Position Surface form Disambiguated ID Type / Status
Subject De-Lovely E303406 entity
Predicate starring P1507 FINISHED
Object Allan Corduner E593109 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: Allan Corduner | Statement: [De-Lovely, starring, Allan Corduner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allan Corduner
Context triple: [De-Lovely, starring, Allan Corduner]
  • A. Allan Corduner chosen
    Allan Corduner is a British actor known for his work in film, television, and theatre, often recognized for character roles in period dramas and independent cinema.
  • B. Guy Doleman
    Guy Doleman was a New Zealand-born character actor best known for his roles in 1960s British spy films, including appearances in the Harry Palmer and early James Bond movies.
  • C. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • D. Allan Melvin
    Allan Melvin was an American character actor best known for his comedic supporting roles on classic television series such as The Brady Bunch, The Phil Silvers Show, and All in the Family.
  • E. Ralph Monclar
    Ralph Monclar was a French Army general best known for volunteering to lead the French Battalion of the United Nations during the Korean War, despite having previously retired.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ed26588190ae76ff17159e06ec completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e2292c8190bffb3a8b6e15029c completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:22 p.m.