Triple

T6231297
Position Surface form Disambiguated ID Type / Status
Subject Cunningham & Cunningham, Inc. E139358 entity
Predicate alsoKnownAs P39 FINISHED
Object C2
C2 is the software consultancy founded by Ward Cunningham, best known for creating the first wiki and contributing to agile software development practices.
 E578408 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: C2 | Statement: [Cunningham & Cunningham, Inc., alsoKnownAs, C2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C2
Context triple: [Cunningham & Cunningham, Inc., alsoKnownAs, C2]
  • A. C-2
    C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • B. C.
    C. is the initial of the given name of C. Robert Kehler, a retired United States Air Force general who formerly commanded U.S. Strategic Command.
  • C. C4
    C4 is a military acronym referring to the integrated system of command, control, communications, and computers that supports decision-making and operations.
  • D. C-1
    C-1 is a commuter rail line in the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • E. C-3
    C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
  • 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: C2
Triple: [Cunningham & Cunningham, Inc., alsoKnownAs, C2]
Generated description
C2 is the software consultancy founded by Ward Cunningham, best known for creating the first wiki and contributing to agile software development practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: C2
Target entity description: C2 is the software consultancy founded by Ward Cunningham, best known for creating the first wiki and contributing to agile software development practices.
  • A. C-2
    C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • B. C.
    C. is the initial of the given name of C. Robert Kehler, a retired United States Air Force general who formerly commanded U.S. Strategic Command.
  • C. C4
    C4 is a military acronym referring to the integrated system of command, control, communications, and computers that supports decision-making and operations.
  • D. C-1
    C-1 is a commuter rail line in the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • E. C-3
    C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062ec5be4819084d6df2e8dd2a542 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20defd338819099a23d00107c4edd completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c211c3c60c8190bd5e4f002c1569e0 completed March 24, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69c214b9b83881909da9fedc7ce60f39 completed March 24, 2026, 4:36 a.m.
Created at: March 22, 2026, 4:22 p.m.