Triple

T13694319
Position Surface form Disambiguated ID Type / Status
Subject This Christmas E328344 entity
Predicate hasCastMember P2308 FINISHED
Object Columbus Short E467295 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: Columbus Short | Statement: [This Christmas, hasCastMember, Columbus Short]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbus Short
Context triple: [This Christmas, hasCastMember, Columbus Short]
  • A. Columbus Short chosen
    Columbus Short is an American actor and choreographer best known for roles in films like "Stomp the Yard" and the TV series "Scandal."
  • B. Shorty
    Shorty is a lesser-known musical act connected to the experimental rock band U.S. Maple, likely sharing its avant-garde, noise-influenced style.
  • C. Tin Lizzie
    Tin Lizzie is the popular nickname for the Ford Model T, the early 20th-century automobile that revolutionized mass car production and personal transportation.
  • D. Shibe
    Shibe is a surname most notably associated with Ben Shibe, an early 20th-century American baseball executive and co-owner of the Philadelphia Athletics.
  • E. Skokie Swift
    Skokie Swift is the former name of the Chicago Transit Authority’s Yellow Line rapid transit service connecting Chicago with the suburb of Skokie.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d4f35888190b2c3df62bde1ce6e completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.