Triple

T3515561
Position Surface form Disambiguated ID Type / Status
Subject Raymond Asquith E74298 entity
Predicate givenName P17 FINISHED
Object Raymond E206680 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: Raymond | Statement: [Raymond Asquith, givenName, Raymond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond
Context triple: [Raymond Asquith, givenName, Raymond]
  • A. Raymond
    Raymond is the given first name of Teller, the silent half of the famous magician duo Penn & Teller.
  • B. Raymond chosen
    Raymond is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
  • C. Raymond
    Raymond is the furry blue sea-dog mascot of Major League Baseball’s Tampa Bay Rays, known for his playful antics at the team’s home games.
  • D. Raymond
    Raymond is the middle name of U.S. Senator Joseph McCarthy, the prominent figure behind the anti-communist "McCarthyism" movement in the 1950s.
  • E. Raymond
    Raymond is the given name of Ray Tomlinson, the American computer programmer widely credited with inventing networked email and introducing the use of the "@" symbol in email addresses.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc30362c81908ca7497a6a935cc6 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7a5ab08190971c9dfd6550eb2d completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.