Triple

T1615874
Position Surface form Disambiguated ID Type / Status
Subject David E34716 entity
Predicate hasShortForm P43 FINISHED
Object Davy E94954 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: Davy | Statement: [David, hasShortForm, Davy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davy
Context triple: [David, hasShortForm, Davy]
  • A. Davy chosen
    Davy is a familiar diminutive form of the given name David, often used as a casual or affectionate nickname.
  • B. James Crabe
    James Crabe was an American cinematographer best known for his work on influential films of the 1970s and 1980s, including the original Rocky.
  • C. Old Pete
    Old Pete is the famous nickname of Confederate General James Longstreet, one of Robert E. Lee’s most trusted corps commanders during the American Civil War.
  • D. Old Pete
    Old Pete was the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher renowned as one of the greatest right-handed pitchers in the sport’s history.
  • E. Nathaniel
    Nathaniel is a masculine given name of Hebrew origin meaning "gift of God," historically borne by various notable figures in literature, science, and religion.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9099049e0819099763ecb09fb4f57 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51cd2e54819086924378792eb2e3 completed March 8, 2026, 10:39 a.m.
Created at: March 4, 2026, 7:28 p.m.