Triple

T6310701
Position Surface form Disambiguated ID Type / Status
Subject Walter Bryan Emery E141492 entity
Predicate name P16 FINISHED
Object Walter Bryan Emery E141492 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: Walter Bryan Emery | Statement: [Walter Bryan Emery, name, Walter Bryan Emery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Bryan Emery
Context triple: [Walter Bryan Emery, name, Walter Bryan Emery]
  • A. Walter Bryan Emery chosen
    Walter Bryan Emery was a prominent British Egyptologist and archaeologist best known for his extensive excavations and research on early dynastic tombs and monuments in Egypt.
  • B. Ken Anderson
    Ken Anderson was an American animator, art director, and story artist best known for his influential work on numerous classic Walt Disney films.
  • C. Ken Anderson
    Ken Anderson is a former NFL quarterback best known for leading the Cincinnati Bengals in the 1970s and early 1980s, earning an MVP award and a Super Bowl appearance.
  • D. Cliff Secord
    Cliff Secord is the fictional stunt pilot who becomes the jetpack-wearing hero known as the Rocketeer in the comic books and film of the same name.
  • E. Roger Edens
    Roger Edens was an American composer, arranger, and producer best known for his influential work on classic MGM musicals in Hollywood’s Golden Age.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0648074b081908ba661651ba705a7 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e45a924081909a1190ce2987b16d completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:28 p.m.