Triple

T5823041
Position Surface form Disambiguated ID Type / Status
Subject The Boondocks E129154 entity
Predicate setIn P1393 FINISHED
Object Woodcrest
Woodcrest is the fictional suburban neighborhood that serves as the primary setting for the animated television series "The Boondocks."
E548404 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: Woodcrest | Statement: [The Boondocks, setIn, Woodcrest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodcrest
Context triple: [The Boondocks, setIn, Woodcrest]
  • A. Crestline
    Crestline is a small mountain community and popular lakeside getaway located in Southern California’s San Bernardino Mountains.
  • B. Northwood Hills
    Northwood Hills is a suburban area and local center in the northwest of Greater London, known for its residential character and transport links.
  • C. Crestwood
    Crestwood is a residential neighborhood in Washington, D.C., known for its leafy streets, single-family homes, and proximity to Rock Creek Park.
  • D. Almondvale
    Almondvale is a district of Livingston in West Lothian, Scotland, known for its major shopping centre and retail facilities.
  • E. Northwood
    Northwood is a master-planned residential village in Irvine, California, known for its suburban neighborhoods, parks, and family-oriented community design.
  • 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: Woodcrest
Triple: [The Boondocks, setIn, Woodcrest]
Generated description
Woodcrest is the fictional suburban neighborhood that serves as the primary setting for the animated television series "The Boondocks."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Woodcrest
Target entity description: Woodcrest is the fictional suburban neighborhood that serves as the primary setting for the animated television series "The Boondocks."
  • A. Crestline
    Crestline is a small mountain community and popular lakeside getaway located in Southern California’s San Bernardino Mountains.
  • B. Northwood Hills
    Northwood Hills is a suburban area and local center in the northwest of Greater London, known for its residential character and transport links.
  • C. Crestwood
    Crestwood is a residential neighborhood in Washington, D.C., known for its leafy streets, single-family homes, and proximity to Rock Creek Park.
  • D. Almondvale
    Almondvale is a district of Livingston in West Lothian, Scotland, known for its major shopping centre and retail facilities.
  • E. Northwood
    Northwood is a master-planned residential village in Irvine, California, known for its suburban neighborhoods, parks, and family-oriented community design.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341715bc81909568b00ccc79869d completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985ab01c8190ac03cb95427c688d completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c0993ebad08190a5470e0e345b6211 completed March 23, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c09a13a19c8190a04807755d16fb95 completed March 23, 2026, 1:40 a.m.
Created at: March 22, 2026, 3:53 p.m.