Triple

T6009655
Position Surface form Disambiguated ID Type / Status
Subject Chelsea Manning E133800 entity
Predicate givenName P17 FINISHED
Object Chelsea
Chelsea is a feminine given name of Old English origin that became widely popular in English-speaking countries in the late 20th century.
 E560446 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: [Chelsea Manning, givenName, Chelsea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chelsea
Context triple: [Chelsea Manning, givenName, 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 a vampire in the Twilight series’ Volturi coven, known for her power to manipulate emotional bonds and loyalties.
  • E. Chelsea
    Chelsea is an affluent district in West London known for its upscale residential streets, fashionable boutiques, and cultural landmarks along the River Thames.
  • 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: [Chelsea Manning, givenName, Chelsea]
Generated description
Chelsea is a feminine given name of Old English origin that became widely popular in English-speaking countries in the late 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chelsea
Target entity description: Chelsea is a feminine given name of Old English origin that became widely popular in English-speaking countries in the late 20th century.
  • 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 a vampire in the Twilight series’ Volturi coven, known for her power to manipulate emotional bonds and loyalties.
  • E. Chelsea
    Chelsea is an affluent district in West London known for its upscale residential streets, fashionable boutiques, and cultural landmarks along the River Thames.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f4e27a881909cc3f7fef62abc3b completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c107d46ebc81908ec415782611ebef completed March 23, 2026, 9:28 a.m.
NEDg Description generation batch_69c1090b86f88190b8d5a2af3b2ad17c completed March 23, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_69c109ab219c8190b6155c32ae5db1b9 completed March 23, 2026, 9:36 a.m.
Created at: March 22, 2026, 4:06 p.m.