Triple

T13316775
Position Surface form Disambiguated ID Type / Status
Subject Unisys E317206 entity
Predicate tickerSymbol P1447 FINISHED
Object UIS
UIS is the stock ticker symbol for Unisys Corporation, an American global information technology services and solutions company.
E1032910 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: UIS | Statement: [Unisys, tickerSymbol, UIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UIS
Context triple: [Unisys, tickerSymbol, UIS]
  • A. UIS
    UIS is a public university in Springfield, Illinois, known for its liberal arts and professional programs within the University of Illinois system.
  • B. UI
    UI is the commonly used abbreviation for the University of Indonesia, one of the country’s leading public universities.
  • C. UI
    UI is the commonly used abbreviation for the University of Iceland, the country’s leading public research university located in Reykjavík.
  • D. UIT
    UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
  • E. UIF
    UIF is Mexico’s Financial Intelligence Unit responsible for analyzing and combating money laundering and terrorist financing through oversight of financial operations.
  • 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: UIS
Triple: [Unisys, tickerSymbol, UIS]
Generated description
UIS is the stock ticker symbol for Unisys Corporation, an American global information technology services and solutions company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UIS
Target entity description: UIS is the stock ticker symbol for Unisys Corporation, an American global information technology services and solutions company.
  • A. UIS
    UIS is a public university in Springfield, Illinois, known for its liberal arts and professional programs within the University of Illinois system.
  • B. UI
    UI is the commonly used abbreviation for the University of Iceland, the country’s leading public research university located in Reykjavík.
  • C. UI
    UI is the commonly used abbreviation for the University of Indonesia, one of the country’s leading public universities.
  • D. UIT
    UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
  • E. UIF
    UIF is Mexico’s Financial Intelligence Unit responsible for analyzing and combating money laundering and terrorist financing through oversight of financial operations.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f9a384819085890e18255ee339 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716ec2ec08190a6e37795b422fe71 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717d953b48190954b86c41ff34c07 completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f718b994188190b273cc6116919c22 completed May 3, 2026, 9:43 a.m.
Created at: April 9, 2026, 9:29 p.m.