Triple

T15290320
Position Surface form Disambiguated ID Type / Status
Subject Reginald Owen E365508 entity
Predicate givenName P17 FINISHED
Object Reginald E74967 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: Reginald | Statement: [Reginald Owen, givenName, Reginald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reginald
Context triple: [Reginald Owen, 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 Venable
    Reginald Venable was the husband of American stage and film actress Fay Bainter.
  • C. 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.
  • D. Reginald Little
    Reginald Little was one of the children of Louise Little, best known as the mother of civil rights leader Malcolm X.
  • E. Marvyn
    Marvyn is an English surname historically associated with families such as that of the Tudor-era politician James Marvyn.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03680b60c8190a3ea54a9d34c8105 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef7d4da4819080f101c3a525ea11 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.