Triple

T13637441
Position Surface form Disambiguated ID Type / Status
Subject Reggie Wayne E325885 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: [Reggie Wayne, givenName, Reginald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reginald
Context triple: [Reggie Wayne, 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a84cc4819098a975e33250c89b completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af297008190b12256c936714213 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.