Triple

T9823774
Position Surface form Disambiguated ID Type / Status
Subject Thea Holme E238600 entity
Predicate notableWork P4 FINISHED
Object Chelsea
"Chelsea" is a historical work by British writer Thea Holme that portrays the social and cultural life of the Chelsea district in London.
 E822496 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: Chelsea | Statement: [Thea Holme, notableWork, Chelsea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chelsea
Context triple: [Thea Holme, notableWork, Chelsea]
  • A. Chelsea
    Chelsea is a small, densely populated city in Massachusetts located just across the Mystic River from downtown Boston.
  • B. Chelsea
    Chelsea is a neighborhood on Manhattan’s West Side in New York City, known for its art galleries, nightlife, and historic architecture.
  • C. Chelsea
    Chelsea is a small municipality in western Quebec, Canada, known for its scenic natural surroundings and proximity to Gatineau Park.
  • D. Chelsea
    Chelsea is an affluent district in West London known for its upscale residential streets, fashionable boutiques, and cultural landmarks along the River Thames.
  • E. Chelsea
    Chelsea is a feminine given name of Old English origin that became widely popular in English-speaking countries in the late 20th century.
  • 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: Chelsea
Triple: [Thea Holme, notableWork, Chelsea]
Generated description
"Chelsea" is a historical work by British writer Thea Holme that portrays the social and cultural life of the Chelsea district in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chelsea
Target entity description: "Chelsea" is a historical work by British writer Thea Holme that portrays the social and cultural life of the Chelsea district in London.
  • A. Chelsea
    Chelsea is an affluent district in West London known for its upscale residential streets, fashionable boutiques, and cultural landmarks along the River Thames.
  • B. Chelsea
    Chelsea is a neighborhood on Manhattan’s West Side in New York City, known for its art galleries, nightlife, and historic architecture.
  • C. Chelsea
    Chelsea is a feminine given name of Old English origin that became widely popular in English-speaking countries in the late 20th century.
  • D. Chelsea
    Chelsea is a small municipality in western Quebec, Canada, known for its scenic natural surroundings and proximity to Gatineau Park.
  • E. Chelsea
    Chelsea is a small, densely populated city in Massachusetts located just across the Mystic River from downtown Boston.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc810bac8190a5ff94c0717e7706 completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cd5a04fc8190a78a1459b78962b1 completed April 5, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d1cdca61d481909f3394bf593f0bfb completed April 5, 2026, 2:49 a.m.
Created at: March 30, 2026, 8:31 p.m.