Triple

T5501470
Position Surface form Disambiguated ID Type / Status
Subject Nuance Communications E144337 entity
Predicate tickerSymbol P1447 FINISHED
Object NUAN
NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
 E532215 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: NUAN | Statement: [Nuance Communications, tickerSymbol, NUAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NUAN
Context triple: [Nuance Communications, tickerSymbol, NUAN]
  • A. NUE
    NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
  • B. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • C. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • D. NU
    NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
  • E. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • 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: NUAN
Triple: [Nuance Communications, tickerSymbol, NUAN]
Generated description
NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NUAN
Target entity description: NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
  • A. NUE
    NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
  • B. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • C. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • D. NU
    NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
  • E. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f0a512c81908f077378917e5879 completed March 22, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027a10fa08190853d45354fd9b044 completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c0345909388190bfa746d22474ab8f completed March 22, 2026, 6:26 p.m.
NED2 Entity disambiguation (via description) batch_69c0354e95808190b4386e2796291dba completed March 22, 2026, 6:30 p.m.
Created at: March 22, 2026, 3:32 p.m.