Triple

T10676827
Position Surface form Disambiguated ID Type / Status
Subject Being There E251641 entity
Predicate character P662 FINISHED
Object Chance the gardener
Chance the gardener is the simple-minded, television-raised protagonist of Jerzy Kosiński’s novel and the film "Being There," whose naive remarks are mistaken for profound political wisdom.
 E878674 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: Chance the gardener | Statement: [Being There, character, Chance the gardener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chance the gardener
Context triple: [Being There, character, Chance the gardener]
  • A. Mr. Plod
    Mr. Plod is the bumbling village policeman character from Enid Blyton’s Noddy stories, known for trying to keep order in Toyland.
  • B. Alfie
    Alfie is a diminutive given name, commonly used in English-speaking countries, derived from the name Alfred.
  • C. Alfie
    "Alfie" is a classic 1966 pop song, with music by Burt Bacharach and lyrics by Hal David, best known as the reflective theme from the film of the same name.
  • D. Peel
    Peel is a regional municipality in Ontario, Canada, encompassing several suburban communities west of Toronto.
  • E. Peel
    Peel is a suburban area associated with the town of Accrington in Lancashire, England.
  • 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: Chance the gardener
Triple: [Being There, character, Chance the gardener]
Generated description
Chance the gardener is the simple-minded, television-raised protagonist of Jerzy Kosiński’s novel and the film "Being There," whose naive remarks are mistaken for profound political wisdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chance the gardener
Target entity description: Chance the gardener is the simple-minded, television-raised protagonist of Jerzy Kosiński’s novel and the film "Being There," whose naive remarks are mistaken for profound political wisdom.
  • A. Mr. Plod
    Mr. Plod is the bumbling village policeman character from Enid Blyton’s Noddy stories, known for trying to keep order in Toyland.
  • B. Alfie
    Alfie is a diminutive given name, commonly used in English-speaking countries, derived from the name Alfred.
  • C. Alfie
    "Alfie" is a classic 1966 pop song, with music by Burt Bacharach and lyrics by Hal David, best known as the reflective theme from the film of the same name.
  • D. Peel
    Peel is a regional municipality in Ontario, Canada, encompassing several suburban communities west of Toronto.
  • E. Peel
    Peel is a suburban area associated with the town of Accrington in Lancashire, England.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb9563908190a69cf4bd2c24fd2f completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9887e974c81908c4943339ea9a93f completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aea391c81909ec64a29053c35c1 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c013348819094bde38a057257b4 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:09 p.m.