Triple

T15695040
Position Surface form Disambiguated ID Type / Status
Subject Reuben Webster Millsaps E380437 entity
Predicate hasMiddleName P143 FINISHED
Object Webster E194770 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: Webster | Statement: [Reuben Webster Millsaps, hasMiddleName, Webster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Webster
Context triple: [Reuben Webster Millsaps, hasMiddleName, Webster]
  • A. Webster chosen
    Webster is a common English surname most famously associated with American lexicographer Noah Webster, whose name is linked to influential early American dictionaries.
  • B. Merriam
    Merriam is a surname most notably associated with American zoologist and ethnographer Clinton Hart Merriam.
  • C. Merriam
    Merriam is a small suburban city in Johnson County, Kansas, within the Kansas City metropolitan area.
  • D. Webster’s Unabridged Dictionary
    Webster’s Unabridged Dictionary is a comprehensive, authoritative American English dictionary renowned for its extensive word coverage and detailed definitions.
  • E. An American Dictionary of the English Language
    An American Dictionary of the English Language is Noah Webster’s landmark 1828 dictionary that helped standardize American English spelling and usage.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f50ce848190a839c4fb7306d793 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eed9a8c8190a57ffce61a27ec17 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.