Triple

T17666514
Position Surface form Disambiguated ID Type / Status
Subject Harry Lloyd E440397 entity
Predicate name P16 FINISHED
Object Harry Lloyd E440397 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: Harry Lloyd | Statement: [Harry Lloyd, name, Harry Lloyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Lloyd
Context triple: [Harry Lloyd, name, Harry Lloyd]
  • A. Harry Lloyd chosen
    Harry Lloyd is an English actor known for his roles in television series such as Robin Hood and Game of Thrones, as well as various film and stage productions.
  • B. 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.
  • C. Lewis Pullman
    Lewis Pullman is an American actor known for roles in films such as "Top Gun: Maverick," "Bad Times at the El Royale," and "The Strangers: Prey at Night."
  • D. James Bassett
    James Bassett was an American novelist best known for writing the World War II naval novel "Harm's Way," which was adapted into the 1965 film "In Harm's Way."
  • E. Jonathan Rhys Hill
    Jonathan Rhys Hill is a composer best known for his work on television drama scores, including the series "The Trial of Christine Keeler."
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea9d91c81908414ef38c7fb36a4 completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a023014a9d48190b7b5e86ce3bca3fd completed May 11, 2026, 7:37 p.m.
Created at: April 10, 2026, 9:57 a.m.