Triple

T6399081
Position Surface form Disambiguated ID Type / Status
Subject George Edward Lewis E144013 entity
Predicate middleName P143 FINISHED
Object Edward E5488 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: Edward | Statement: [George Edward Lewis, middleName, Edward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward
Context triple: [George Edward Lewis, middleName, Edward]
  • A. Edward chosen
    Edward is a masculine given name of English origin, historically associated with kings of England and notable figures such as U.S. Senator Edward M. Kennedy.
  • B. Richard
    Richard is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • C. George
    George is the given name of George W. McLaurin, the first African American student admitted to the University of Oklahoma.
  • D. George
    George is the given name of John Stewart-Murray, the 8th Duke of Atholl, a Scottish peer and soldier of the late 19th and early 20th centuries.
  • E. George
    George is the middle name of William George Barker, a renowned Canadian World War I flying ace and Victoria Cross recipient.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06897ebc48190842d48cce469eba5 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bb0a0bc819098a5a753d0be52a1 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:35 p.m.