Triple

T14680587
Position Surface form Disambiguated ID Type / Status
Subject Woody Boyd E344770 entity
Predicate nickname P55 FINISHED
Object Woody
Woody is a naive yet lovable bartender from the TV sitcom "Cheers," known for his Midwestern charm and goofy innocence.
 E1113647 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: Woody | Statement: [Woody Boyd, nickname, Woody]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woody
Context triple: [Woody Boyd, nickname, Woody]
  • A. Woody
    Woody is the commonly used nickname of American businessman and New York Jets owner Woody Johnson.
  • B. Woody
    Woody is the nickname of Woody Guthrie, the influential American folk singer-songwriter known for his protest music and the anthem "This Land Is Your Land."
  • C. Woody
    Woody is a surname most notably associated with American musician and Allman Brothers Band bassist Allen Woody.
  • D. Woody
    Woody is the central protagonist of the British crime drama series "Mad Dogs," around whom the show's darkly comic and suspenseful events revolve.
  • E. Woody
    Woody is the nickname of Woody Hayes, the legendary Ohio State Buckeyes football coach known for his intense leadership and multiple national championships.
  • 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: Woody
Triple: [Woody Boyd, nickname, Woody]
Generated description
Woody is a naive yet lovable bartender from the TV sitcom "Cheers," known for his Midwestern charm and goofy innocence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Woody
Target entity description: Woody is a naive yet lovable bartender from the TV sitcom "Cheers," known for his Midwestern charm and goofy innocence.
  • A. Woody
    Woody is the cowboy doll character from Pixar's Toy Story franchise, known as the loyal and level-headed leader of Andy's toys.
  • B. Woody
    Woody is the central protagonist of the British crime drama series "Mad Dogs," around whom the show's darkly comic and suspenseful events revolve.
  • C. Woody
    Woody is the nickname of Woody Hayes, the legendary Ohio State Buckeyes football coach known for his intense leadership and multiple national championships.
  • D. Woody
    Woody is the nickname of Woody Guthrie, the influential American folk singer-songwriter known for his protest music and the anthem "This Land Is Your Land."
  • E. Woody
    Woody is the commonly used nickname of American businessman and New York Jets owner Woody Johnson.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde180ff0c8190a8b7c7804e36c3f8 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde447189881909b4b0dc654a05e0d completed May 8, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69fde53290a48190b3701472bb4e3d63 completed May 8, 2026, 1:29 p.m.
Created at: April 10, 2026, 1:28 a.m.