Triple

T13511502
Position Surface form Disambiguated ID Type / Status
Subject Sid Jeffers E321149 entity
Predicate hasName P744 FINISHED
Object Sid Jeffers E321149 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: Sid Jeffers | Statement: [Sid Jeffers, hasName, Sid Jeffers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sid Jeffers
Context triple: [Sid Jeffers, hasName, Sid Jeffers]
  • A. Sid Jeffers chosen
    Sid Jeffers is a fictional character from the film "Humoresque," involved in the dramatic world surrounding a talented but troubled violinist.
  • B. Jeffrey Skiles
    Jeffrey Skiles is an American airline pilot best known as the first officer who helped safely land US Airways Flight 1549 on the Hudson River alongside Captain Chesley "Sully" Sullenberger.
  • C. Lang Jeffries
    Lang Jeffries was an American film and television actor known for his roles in 1950s–1960s adventure and war movies, and for his marriage to actress Rhonda Fleming.
  • D. James Jarrell
    James Jarrell is the given first and middle name of American politician Jake Pickle, who represented Texas in the U.S. House of Representatives.
  • E. Greg Edmonson
    Greg Edmonson is an American composer best known for his work on the television series Firefly and the Uncharted video game franchise.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d91e35881909a7184be0ad70c14 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:43 p.m.