Triple

T5759430
Position Surface form Disambiguated ID Type / Status
Subject Cecil Shorts III E127051 entity
Predicate familyName P18 FINISHED
Object Shorts
Shorts is a surname shared by various individuals, including American football player Cecil Shorts III.
 E543614 NE FINISHED

How this triple was built (4 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: Shorts | Statement: [Cecil Shorts III, familyName, Shorts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shorts
Context triple: [Cecil Shorts III, familyName, Shorts]
  • A. YouTube Shorts
    YouTube Shorts is YouTube’s short-form vertical video platform designed for quick, snackable content similar to TikTok and Instagram Reels.
  • B. Digital Short
    Digital Short is a series of pre-recorded comedic video segments that became a signature part of Saturday Night Live, often featuring experimental sketches, music videos, and celebrity cameos.
  • C. Short Cuts
    Short Cuts is a Toronto International Film Festival program showcasing a curated selection of international and Canadian short films across genres and styles.
  • D. Short Cuts
    Short Cuts is a 1993 ensemble drama film directed by Robert Altman, adapted from Raymond Carver’s short stories and known for its interwoven narratives about Los Angeles residents.
  • E. Get Shorty (film)
    Get Shorty (film) is a 1995 crime-comedy movie about a smooth-talking loan shark navigating Hollywood, based on Elmore Leonard’s novel of the same name.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shorts
Triple: [Cecil Shorts III, familyName, Shorts]
Generated description
Shorts is a surname shared by various individuals, including American football player Cecil Shorts III.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shorts
Target entity description: Shorts is a surname shared by various individuals, including American football player Cecil Shorts III.
  • A. YouTube Shorts
    YouTube Shorts is YouTube’s short-form vertical video platform designed for quick, snackable content similar to TikTok and Instagram Reels.
  • B. Digital Short
    Digital Short is a series of pre-recorded comedic video segments that became a signature part of Saturday Night Live, often featuring experimental sketches, music videos, and celebrity cameos.
  • C. Short Cuts
    Short Cuts is a Toronto International Film Festival program showcasing a curated selection of international and Canadian short films across genres and styles.
  • D. Short Cuts
    Short Cuts is a 1993 ensemble drama film directed by Robert Altman, adapted from Raymond Carver’s short stories and known for its interwoven narratives about Los Angeles residents.
  • E. Get Shorty (film)
    Get Shorty (film) is a 1995 crime-comedy movie about a smooth-talking loan shark navigating Hollywood, based on Elmore Leonard’s novel of the same name.
  • F. None of above. chosen

Provenance (5 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0293771ec8190a0082685327d649b completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e507d348190a983a4c127b78de0 completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c0895a350c819098bfe51833e7f0da completed March 23, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_69c089e769248190aec908d826a36a85 completed March 23, 2026, 12:31 a.m.
Created at: March 22, 2026, 3:49 p.m.