Triple

T18190424
Position Surface form Disambiguated ID Type / Status
Subject Eaton Vance E435517 entity
Predicate tickerSymbol P1447 FINISHED
Object EV
EV is the stock ticker symbol for Eaton Vance, a U.S.-based investment management firm known for its mutual funds and wealth management services.
 E1310697 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: EV | Statement: [Eaton Vance, tickerSymbol, EV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EV
Context triple: [Eaton Vance, tickerSymbol, EV]
  • A. EVZ
    EVZ is a professional Swiss ice hockey club based in Zug that competes in the National League.
  • B. NEV
    NEV is the IATA airport code for Vance W. Amory International Airport on the Caribbean island of Nevis in Saint Kitts and Nevis.
  • C. Green Car
    Green Car is the first-class, reserved-seat section on Japanese Shinkansen and limited express trains, offering more spacious seating and enhanced comfort compared to standard cars.
  • D. EV4
    EV4 is the internal codename for the DEC Alpha 21064, a 64-bit RISC microprocessor developed by Digital Equipment Corporation in the early 1990s.
  • E. EV Building
    EV Building is a major Concordia University campus facility known for housing engineering, computer science, and visual arts programs in a modern, interdisciplinary environment.
  • 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: EV
Triple: [Eaton Vance, tickerSymbol, EV]
Generated description
EV is the stock ticker symbol for Eaton Vance, a U.S.-based investment management firm known for its mutual funds and wealth management services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EV
Target entity description: EV is the stock ticker symbol for Eaton Vance, a U.S.-based investment management firm known for its mutual funds and wealth management services.
  • A. EVZ
    EVZ is a professional Swiss ice hockey club based in Zug that competes in the National League.
  • B. NEV
    NEV is the IATA airport code for Vance W. Amory International Airport on the Caribbean island of Nevis in Saint Kitts and Nevis.
  • C. Green Car
    Green Car is the first-class, reserved-seat section on Japanese Shinkansen and limited express trains, offering more spacious seating and enhanced comfort compared to standard cars.
  • D. EV4
    EV4 is the internal codename for the DEC Alpha 21064, a 64-bit RISC microprocessor developed by Digital Equipment Corporation in the early 1990s.
  • E. EV Building
    EV Building is a major Concordia University campus facility known for housing engineering, computer science, and visual arts programs in a modern, interdisciplinary environment.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0cf0d7c81908ce0386c52ef601d completed April 19, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03980723a88190b58ce64860cb40e5 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a0399364d988190a457415c9c64a68d completed May 12, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0399e221308190988e728b9efb0141 completed May 12, 2026, 9:21 p.m.
Created at: April 10, 2026, 10:31 a.m.