Triple

T3834721
Position Surface form Disambiguated ID Type / Status
Subject South East London E91099 entity
Predicate contains P35 FINISHED
Object Lee
Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
 E392982 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: Lee | Statement: [South East London, contains, Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lee
Context triple: [South East London, contains, Lee]
  • A. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • B. Lou
    Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • C. Lou
    Lou is a common diminutive form of the given name Louise.
  • D. Lew
    Lew is a surname most prominently associated with Jack Lew, the former U.S. Secretary of the Treasury.
  • E. Larry
    Larry is the sarcastic and somewhat cynical cameraman who works alongside Phil Connors in the film "Groundhog Day."
  • 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: Lee
Triple: [South East London, contains, Lee]
Generated description
Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lee
Target entity description: Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
  • A. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • B. Lou
    Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • C. Lou
    Lou is a common diminutive form of the given name Louise.
  • D. Lew
    Lew is a surname most prominently associated with Jack Lew, the former U.S. Secretary of the Treasury.
  • E. Larry
    Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8a27688190866bc41441e2260c completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b50402b2448190aef242c46bf0546d completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b507da61e0819086a460e7ddfba4df completed March 14, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b5082c6bb88190a9d2fd20e16c7cb7 completed March 14, 2026, 7:03 a.m.
Created at: March 9, 2026, 3:18 p.m.