Triple

T12966928
Position Surface form Disambiguated ID Type / Status
Subject Muskogee County E321284 entity
Predicate contains P35 FINISHED
Object Warner
Warner is a small town located in Muskogee County in the state of Oklahoma, United States.
E1021706 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: Warner | Statement: [Muskogee County, contains, Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warner
Context triple: [Muskogee County, contains, Warner]
  • A. Warner
    Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
  • B. Warner’s
    Warner’s is an American intimate apparel brand best known for its comfortable, affordable women’s bras and underwear.
  • C. Warner Sogefilms
    Warner Sogefilms is a Spanish film distribution company associated with releasing major domestic and international titles.
  • D. Warner Bros. Entertainment
    Warner Bros. Entertainment is a major American film and television studio and media company known for producing blockbuster franchises and owning prominent entertainment brands such as DC Comics.
  • E. Warnercolor
    Warnercolor was a mid-20th-century color motion picture process developed and used by Warner Bros. for many of its films.
  • 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: Warner
Triple: [Muskogee County, contains, Warner]
Generated description
Warner is a small town located in Muskogee County in the state of Oklahoma, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Warner
Target entity description: Warner is a small town located in Muskogee County in the state of Oklahoma, United States.
  • A. Warner
    Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
  • B. Warner’s
    Warner’s is an American intimate apparel brand best known for its comfortable, affordable women’s bras and underwear.
  • C. Warner Sogefilms
    Warner Sogefilms is a Spanish film distribution company associated with releasing major domestic and international titles.
  • D. Warner Bros. Entertainment
    Warner Bros. Entertainment is a major American film and television studio and media company known for producing blockbuster franchises and owning prominent entertainment brands such as DC Comics.
  • E. Warnercolor
    Warnercolor was a mid-20th-century color motion picture process developed and used by Warner Bros. for many of its films.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e3f702481908f0f90f4f12d3f4d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e264475c8190940f83c57f51585d completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e35d940881908ff426d9343b7403 completed May 3, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69f6e40a13c8819084daf9b77b46a181 completed May 3, 2026, 5:58 a.m.
Created at: April 9, 2026, 8:30 p.m.