Triple

T5247837
Position Surface form Disambiguated ID Type / Status
Subject Discovery, Inc. E118507 entity
Predicate tickerSymbol P1447 FINISHED
Object DISCA
DISCA was the NASDAQ ticker symbol for Discovery, Inc., a major American media company known for its portfolio of nonfiction television networks such as Discovery Channel and Animal Planet.
 E505146 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: DISCA | Statement: [Discovery, Inc., tickerSymbol, DISCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DISCA
Context triple: [Discovery, Inc., tickerSymbol, DISCA]
  • A. Diskit
    Diskit is a remote village in India’s Ladakh region, known for its ancient Diskit Monastery and dramatic views over the Nubra Valley.
  • B. DIS
    DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
  • C. DISC
    DISC is a leading international conference focused on research in distributed computing and related areas of computer science.
  • D. Discocnide
    Discocnide is a small genus of flowering plants in the hemp family Cannabaceae, known for its nettle-like species.
  • E. Disce Doce
    Disce Doce is the Latin motto of Sheffield City Council, traditionally interpreted as "Learn and Teach."
  • 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: DISCA
Triple: [Discovery, Inc., tickerSymbol, DISCA]
Generated description
DISCA was the NASDAQ ticker symbol for Discovery, Inc., a major American media company known for its portfolio of nonfiction television networks such as Discovery Channel and Animal Planet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DISCA
Target entity description: DISCA was the NASDAQ ticker symbol for Discovery, Inc., a major American media company known for its portfolio of nonfiction television networks such as Discovery Channel and Animal Planet.
  • A. Diskit
    Diskit is a remote village in India’s Ladakh region, known for its ancient Diskit Monastery and dramatic views over the Nubra Valley.
  • B. DIS
    DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
  • C. DISC
    DISC is a leading international conference focused on research in distributed computing and related areas of computer science.
  • D. Discocnide
    Discocnide is a small genus of flowering plants in the hemp family Cannabaceae, known for its nettle-like species.
  • E. Disce Doce
    Disce Doce is the Latin motto of Sheffield City Council, traditionally interpreted as "Learn and Teach."
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b77165c8190bd1ce8a197cef226 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef836d158819092cdd22e0dbc9dae completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8d1cc2c8190aa8cf712f14d0565 completed March 21, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69bef95e7ce48190a1ec2fc27ce37d00 completed March 21, 2026, 8:02 p.m.
Created at: March 20, 2026, 1:50 p.m.