Triple

T12206365
Position Surface form Disambiguated ID Type / Status
Subject Annie Fields House E290845 entity
Predicate city P40 FINISHED
Object Hartford
Hartford is the capital city of Connecticut, known as a historic center of insurance, literature, and government in the United States.
E67626 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: Hartford | Statement: [Annie Fields House, city, Hartford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartford
Context triple: [Annie Fields House, city, Hartford]
  • A. Hartford
    Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
  • B. Hartford
    Hartford is a small city in eastern South Dakota that functions as a suburban community within the greater Sioux Falls metropolitan area.
  • C. New Haven
    New Haven is a small city in central Kentucky known for its historic railroad heritage and proximity to the Kentucky Railway Museum.
  • D. Hartford (Providence)
    Hartford is a neighborhood in the city of Providence, Rhode Island, known as a residential area within Providence County.
  • E. The Hartford
    The Hartford is a major American insurance and financial services company known for its property and casualty, group benefits, and mutual funds offerings.
  • 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: Hartford
Triple: [Annie Fields House, city, Hartford]
Generated description
Hartford is the capital city of Connecticut, known as a historic center of insurance, literature, and government in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hartford
Target entity description: Hartford is the capital city of Connecticut, known as a historic center of insurance, literature, and government in the United States.
  • A. Hartford chosen
    Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
  • B. Hartford
    Hartford is a small city in eastern South Dakota that functions as a suburban community within the greater Sioux Falls metropolitan area.
  • C. New Haven
    New Haven is a small city in central Kentucky known for its historic railroad heritage and proximity to the Kentucky Railway Museum.
  • D. Hartford (Providence)
    Hartford is a neighborhood in the city of Providence, Rhode Island, known as a residential area within Providence County.
  • E. The Hartford
    The Hartford is a major American insurance and financial services company known for its property and casualty, group benefits, and mutual funds offerings.
  • F. None of above.

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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7d8f5c8190a46e9caa2a920fa9 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af38e3548190a5192894932d9b1d completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b02e3b9881909387c1f70176a1bd completed May 3, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6b11ced30819090f67a0b1e1369aa completed May 3, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:51 p.m.