Triple

T5029202
Position Surface form Disambiguated ID Type / Status
Subject Allscripts E113253 entity
Predicate tickerSymbol P1447 FINISHED
Object MDRX
MDRX is the stock ticker symbol for Allscripts, a healthcare information technology company known for its electronic health record and practice management solutions.
 E487985 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: MDRX | Statement: [Allscripts, tickerSymbol, MDRX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MDRX
Context triple: [Allscripts, tickerSymbol, MDRX]
  • A. MDR
    MDR is the European Union’s comprehensive regulatory framework governing the safety, performance, and market approval of medical devices.
  • B. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • C. MDW
    MDW is the IATA airport code for Chicago Midway International Airport, a major commercial airport serving the Chicago metropolitan area in Illinois, USA.
  • D. MDAR
    MDAR is the Massachusetts state agency responsible for promoting agriculture, supporting farmers, and overseeing agricultural policy, food safety, and related environmental resources.
  • E. MDV
    MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
  • 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: MDRX
Triple: [Allscripts, tickerSymbol, MDRX]
Generated description
MDRX is the stock ticker symbol for Allscripts, a healthcare information technology company known for its electronic health record and practice management solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MDRX
Target entity description: MDRX is the stock ticker symbol for Allscripts, a healthcare information technology company known for its electronic health record and practice management solutions.
  • A. MDR
    MDR is the European Union’s comprehensive regulatory framework governing the safety, performance, and market approval of medical devices.
  • B. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • C. MDW
    MDW is the IATA airport code for Chicago Midway International Airport, a major commercial airport serving the Chicago metropolitan area in Illinois, USA.
  • D. MDAR
    MDAR is the Massachusetts state agency responsible for promoting agriculture, supporting farmers, and overseeing agricultural policy, food safety, and related environmental resources.
  • E. MDV
    MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd738f2cc88190a03eebf19e407411 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c6859a88190bbf5688812f2eb91 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9e13855081908c3adc9c5c9f3b2d completed March 21, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69be9e83b6e48190b56eb02fce41bbf0 completed March 21, 2026, 1:34 p.m.
Created at: March 20, 2026, 1:36 p.m.