Triple

T9742744
Position Surface form Disambiguated ID Type / Status
Subject Teledyne E236227 entity
Predicate tickerSymbol P1447 FINISHED
Object TDY
TDY is the stock ticker symbol for Teledyne Technologies Incorporated, a U.S.-based industrial conglomerate specializing in instrumentation, digital imaging, aerospace, and defense electronics.
 E817584 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: TDY | Statement: [Teledyne, tickerSymbol, TDY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TDY
Context triple: [Teledyne, tickerSymbol, TDY]
  • A. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • B. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • C. TD
    TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
  • D. DT
    DT is the widely used nickname for Diana Taurasi, a legendary American professional basketball player regarded as one of the greatest in WNBA history.
  • E. T.D.
    T.D. is the anthropomorphic dolphin mascot who entertains fans and represents the Miami Dolphins NFL team at games and events.
  • 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: TDY
Triple: [Teledyne, tickerSymbol, TDY]
Generated description
TDY is the stock ticker symbol for Teledyne Technologies Incorporated, a U.S.-based industrial conglomerate specializing in instrumentation, digital imaging, aerospace, and defense electronics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TDY
Target entity description: TDY is the stock ticker symbol for Teledyne Technologies Incorporated, a U.S.-based industrial conglomerate specializing in instrumentation, digital imaging, aerospace, and defense electronics.
  • A. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • B. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • C. TD
    TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
  • D. DT
    DT is the widely used nickname for Diana Taurasi, a legendary American professional basketball player regarded as one of the greatest in WNBA history.
  • E. T.D.
    T.D. is the anthropomorphic dolphin mascot who entertains fans and represents the Miami Dolphins NFL team at games and events.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2cb7008190a829a03114d6c704 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1aff2339c8190b164b13b54a40cec completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b08ba1f48190830852f9d60e3368 completed April 5, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d1b12cff6c81909e0c92f3d603566f completed April 5, 2026, 12:47 a.m.
Created at: March 30, 2026, 8:23 p.m.