Triple

T21031708
Position Surface form Disambiguated ID Type / Status
Subject Reginald Pecock E518078 entity
Predicate givenName P17 FINISHED
Object Reginald NE NERFINISHED

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: Reginald | Statement: [Reginald Pecock, givenName, Reginald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reginald
Context triple: [Reginald Pecock, givenName, Reginald]
  • A. Reginald chosen
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • B. Reginald Portal
    Reginald Portal was a British Army officer who served with distinction during the First and Second World Wars.
  • C. Reginald Venable
    Reginald Venable was the husband of American stage and film actress Fay Bainter.
  • D. Reginald Wade
    Reginald Wade is a British civil engineer and military officer known for his role in building military roads in the Scottish Highlands in the early 18th century.
  • E. Reginald Little
    Reginald Little was one of the children of Louise Little, best known as the mother of civil rights leader Malcolm X.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc82b5348190b449d59e6cada9de completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.