Triple

T20470063
Position Surface form Disambiguated ID Type / Status
Subject Don Share E502168 entity
Predicate notableWork P4 FINISHED
Object Wishbone
Wishbone is a poetry collection by American poet and editor Don Share, recognized for its sharp, emotionally resonant explorations of contemporary life.
 E1433316 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: Wishbone | Statement: [Don Share, notableWork, Wishbone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wishbone
Context triple: [Don Share, notableWork, Wishbone]
  • A. Wishbone
    Wishbone is a mobile social networking app that lets users compare and vote between two options in quick, image-based polls.
  • B. Wishbone
    "Wishbone" is a song by the American indie rock band Dropbox, known for its melodic hooks and alternative rock sound.
  • C. Wish Bone
    Wish Bone is an American rapper best known as a member of the Cleveland hip hop group Bone Thugs-n-Harmony.
  • D. Monkeybone
    Monkeybone is a 2001 dark fantasy–comedy film that blends live action and animation in a surreal story about a cartoonist trapped in a bizarre dream world.
  • E. Buckpasser
    Buckpasser was a Hall of Fame American Thoroughbred racehorse and influential sire, renowned as one of the dominant champions of the 1960s.
  • 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: Wishbone
Triple: [Don Share, notableWork, Wishbone]
Generated description
Wishbone is a poetry collection by American poet and editor Don Share, recognized for its sharp, emotionally resonant explorations of contemporary life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wishbone
Target entity description: Wishbone is a poetry collection by American poet and editor Don Share, recognized for its sharp, emotionally resonant explorations of contemporary life.
  • A. Wishbone
    Wishbone is a mobile social networking app that lets users compare and vote between two options in quick, image-based polls.
  • B. Wishbone
    "Wishbone" is a song by the American indie rock band Dropbox, known for its melodic hooks and alternative rock sound.
  • C. Wish Bone
    Wish Bone is an American rapper best known as a member of the Cleveland hip hop group Bone Thugs-n-Harmony.
  • D. Monkeybone
    Monkeybone is a 2001 dark fantasy–comedy film that blends live action and animation in a surreal story about a cartoonist trapped in a bizarre dream world.
  • E. Buckpasser
    Buckpasser was a Hall of Fame American Thoroughbred racehorse and influential sire, renowned as one of the dominant champions of the 1960s.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995f753081909bbe03f7c251d9c1 completed April 20, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b1c8764819082fab819e2114156 completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c75b09081908a35bc7a9b6a45ce completed May 16, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a088d8c3ab08190a399dba52e3c99f5 completed May 16, 2026, 3:30 p.m.
Created at: April 16, 2026, 11:33 a.m.