Triple

T22503971
Position Surface form Disambiguated ID Type / Status
Subject Medidata Solutions E556341 entity
Predicate tickerSymbol P1447 FINISHED
Object MDSO
MDSO is the stock ticker symbol for Medidata Solutions, a company that provides cloud-based software and data analytics for clinical research and drug development.
 E1540609 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: MDSO | Statement: [Medidata Solutions, tickerSymbol, MDSO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MDSO
Context triple: [Medidata Solutions, tickerSymbol, MDSO]
  • A. MSO
    MSO is the three-letter FAA airport code for Missoula Montana Airport, a regional air transportation hub serving Missoula and western Montana.
  • B. MSO
    MSO is the commonly used abbreviation for the Milwaukee Symphony Orchestra, a major American orchestra based in Milwaukee, Wisconsin.
  • C. MSO
    MSO is the National Rail station code for Moston railway station in Greater Manchester, England.
  • D. NDMSO
    NDMSO is the Library of Congress office responsible for developing and maintaining MARC standards and related networked library metadata frameworks.
  • E. MDOA
    MDOA is the state agency responsible for advocating for and providing services to older adults and their caregivers in Maryland.
  • 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: MDSO
Triple: [Medidata Solutions, tickerSymbol, MDSO]
Generated description
MDSO is the stock ticker symbol for Medidata Solutions, a company that provides cloud-based software and data analytics for clinical research and drug development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MDSO
Target entity description: MDSO is the stock ticker symbol for Medidata Solutions, a company that provides cloud-based software and data analytics for clinical research and drug development.
  • A. MSO
    MSO is the three-letter FAA airport code for Missoula Montana Airport, a regional air transportation hub serving Missoula and western Montana.
  • B. MSO
    MSO is the National Rail station code for Moston railway station in Greater Manchester, England.
  • C. MSO
    MSO is the commonly used abbreviation for the Milwaukee Symphony Orchestra, a major American orchestra based in Milwaukee, Wisconsin.
  • D. NDMSO
    NDMSO is the Library of Congress office responsible for developing and maintaining MARC standards and related networked library metadata frameworks.
  • E. MDOA
    MDOA is the state agency responsible for advocating for and providing services to older adults and their caregivers in Maryland.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ac5808190a66f9111c350f4dc completed April 29, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17e860888190b5c74df43a9890e9 completed May 18, 2026, 1:45 p.m.
NEDg Description generation batch_6a0b18ad4f608190a6947aeb790d8be7 completed May 18, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1979fe088190a06edb086d6b2b46 completed May 18, 2026, 1:51 p.m.
Created at: April 16, 2026, 8:50 p.m.