Triple

T5680691
Position Surface form Disambiguated ID Type / Status
Subject Invesco Ltd. E125190 entity
Predicate tickerSymbol P1447 FINISHED
Object IVZ
IVZ is the stock ticker symbol for Invesco Ltd., a global investment management firm offering a wide range of asset management products and services.
 E540978 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: IVZ | Statement: [Invesco Ltd., tickerSymbol, IVZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IVZ
Context triple: [Invesco Ltd., tickerSymbol, IVZ]
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • C. VZIO
    VZIO is the stock ticker symbol for Vizio Holding Corp., an American company known for manufacturing affordable smart TVs and related consumer electronics.
  • D. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • E. Zurer
    Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
  • 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: IVZ
Triple: [Invesco Ltd., tickerSymbol, IVZ]
Generated description
IVZ is the stock ticker symbol for Invesco Ltd., a global investment management firm offering a wide range of asset management products and services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IVZ
Target entity description: IVZ is the stock ticker symbol for Invesco Ltd., a global investment management firm offering a wide range of asset management products and services.
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • C. VZIO
    VZIO is the stock ticker symbol for Vizio Holding Corp., an American company known for manufacturing affordable smart TVs and related consumer electronics.
  • D. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • E. Zurer
    Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02397c01081909793bb53ad7cbbce completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a35dd9c8190acd2ee8e94f309a6 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05c471c3081909e5bf44f47388a7c completed March 22, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69c05cda809c81908219947cf06c381a completed March 22, 2026, 9:19 p.m.
Created at: March 22, 2026, 3:44 p.m.