Triple

T9393011
Position Surface form Disambiguated ID Type / Status
Subject George Coe E226070 entity
Predicate name P16 FINISHED
Object George Coe E226070 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: George Coe | Statement: [George Coe, name, George Coe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Coe
Context triple: [George Coe, name, George Coe]
  • A. George Coe chosen
    George Coe was an American actor and voice artist known for his work in film, television, and theater, including being part of the original Saturday Night Live cast.
  • B. William Robertson Coe
    William Robertson Coe was a British-born American insurance executive and philanthropist known for his wealth, art collecting, and development of grand estates such as those on Long Island.
  • C. Edward Blount
    Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
  • D. Charles Geach
    Charles Geach was a 19th-century British banker and businessman best known for establishing Midland Bank, which grew into one of the United Kingdom’s major banking institutions.
  • E. George Sigerson
    George Sigerson was an Irish physician, scientist, translator, and leading figure of the Irish literary revival in the late 19th and early 20th centuries.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd510fec6481908b51c497744068c8 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10108cd0c8190a38ee2325d3475ce completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:45 p.m.