Triple

T5309931
Position Surface form Disambiguated ID Type / Status
Subject Howard E118997 entity
Predicate hasNotableBearer P458 FINISHED
Object Alan Howard E423468 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: Alan Howard | Statement: [Howard, hasNotableBearer, Alan Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Howard
Context triple: [Howard, hasNotableBearer, Alan Howard]
  • A. Alan Howard chosen
    Alan Howard was an English actor known for his distinguished stage career with the Royal Shakespeare Company and notable film roles.
  • B. Michael Ironside
    Michael Ironside is a Canadian actor known for his intense, often villainous roles in science fiction and action films such as "Total Recall," "Starship Troopers," and "Top Gun."
  • C. Ian Menzies
    Ian Menzies is a notable individual who shares the Menzies surname, recognized as a distinguished bearer of that family name.
  • D. Michael Hordern
    Michael Hordern was an English actor renowned for his distinguished stage and screen career, often noted for his Shakespearean roles and character work in British film and television.
  • E. Anthony Ainley
    Anthony Ainley was an English actor best known for playing the villainous Time Lord known as the Master in the long-running British science fiction series Doctor Who.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8532c26c819084f5b8de542cd309 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ffb1f08190aba4c1c860085c92 completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.