Triple

T7755819
Position Surface form Disambiguated ID Type / Status
Subject Boston Associates E175892 entity
Predicate keyMember P44793 FINISHED
Object Charles Storrow
Charles Storrow was a 19th-century American industrialist and engineer associated with New England’s early textile and manufacturing enterprises.
 E688230 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: Charles Storrow | Statement: [Boston Associates, keyMember, Charles Storrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charles Storrow
Context triple: [Boston Associates, keyMember, Charles Storrow]
  • A. John Whiteaker
    John Whiteaker was an American politician who became the first governor of the U.S. state of Oregon after it achieved statehood.
  • B. Mark Stothert
    Mark Stothert is a music producer best known for his work with the artist Edie.
  • C. John Burrows
    John Burrows is a fictional character featured in the 1951 British drama film "Journey into Light."
  • D. Thomas Holt
    Thomas Holt was a prominent early 17th-century English architect and master mason best known for designing key Renaissance-style buildings at the University of Oxford.
  • E. William Gaxton
    William Gaxton was an American stage and film actor best known for his leading roles in Broadway musical comedies during the early to mid-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: Charles Storrow
Triple: [Boston Associates, keyMember, Charles Storrow]
Generated description
Charles Storrow was a 19th-century American industrialist and engineer associated with New England’s early textile and manufacturing enterprises.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charles Storrow
Target entity description: Charles Storrow was a 19th-century American industrialist and engineer associated with New England’s early textile and manufacturing enterprises.
  • A. John Whiteaker
    John Whiteaker was an American politician who became the first governor of the U.S. state of Oregon after it achieved statehood.
  • B. Mark Stothert
    Mark Stothert is a music producer best known for his work with the artist Edie.
  • C. John Burrows
    John Burrows is a fictional character featured in the 1951 British drama film "Journey into Light."
  • D. Thomas Holt
    Thomas Holt was a prominent early 17th-century English architect and master mason best known for designing key Renaissance-style buildings at the University of Oxford.
  • E. William Gaxton
    William Gaxton was an American stage and film actor best known for his leading roles in Broadway musical comedies during the early to mid-20th century.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d9d8fc8190b51faeb081ee425f completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6c06f54819096162e84180918ba completed March 29, 2026, 7:37 a.m.
NEDg Description generation batch_69c8d74cc52c8190bbbfff7d4c57cc99 completed March 29, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_69c8d80a88f8819098bdb678e86f9be9 completed March 29, 2026, 7:43 a.m.
Created at: March 27, 2026, 4:08 p.m.