Triple

T8895241
Position Surface form Disambiguated ID Type / Status
Subject Combine painting E211790 entity
Predicate alsoKnownAs P39 FINISHED
Object Combine work
Combine work is a style of art pioneered by Robert Rauschenberg that merges painting and sculpture by incorporating everyday objects and materials into the painted surface.
 E765130 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: Combine work | Statement: [Combine painting, alsoKnownAs, Combine work]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Combine work
Context triple: [Combine painting, alsoKnownAs, Combine work]
  • A. Combine
    Combine is Apple’s declarative reactive programming framework for handling asynchronous events and data streams in Swift applications.
  • B. Afwerki
    Afwerki is the surname of Isaias Afwerki, the long-serving president and founding leader of Eritrea.
  • C. Workmore
    Workmore is a small unincorporated rural community located in Telfair County, Georgia, United States.
  • D. ORK
    ORK is the three-letter IATA airport code for Cork Airport in County Cork, Ireland.
  • E. Operation Get to Work
    Operation Get to Work is the English name for Operation Bootstrap, a mid-20th-century industrialization and economic development program that transformed Puerto Rico’s economy from agriculture-based to manufacturing-focused.
  • 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: Combine work
Triple: [Combine painting, alsoKnownAs, Combine work]
Generated description
Combine work is a style of art pioneered by Robert Rauschenberg that merges painting and sculpture by incorporating everyday objects and materials into the painted surface.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Combine work
Target entity description: Combine work is a style of art pioneered by Robert Rauschenberg that merges painting and sculpture by incorporating everyday objects and materials into the painted surface.
  • A. Combine
    Combine is Apple’s declarative reactive programming framework for handling asynchronous events and data streams in Swift applications.
  • B. Afwerki
    Afwerki is the surname of Isaias Afwerki, the long-serving president and founding leader of Eritrea.
  • C. Workmore
    Workmore is a small unincorporated rural community located in Telfair County, Georgia, United States.
  • D. ORK
    ORK is the three-letter IATA airport code for Cork Airport in County Cork, Ireland.
  • E. Operation Get to Work
    Operation Get to Work is the English name for Operation Bootstrap, a mid-20th-century industrialization and economic development program that transformed Puerto Rico’s economy from agriculture-based to manufacturing-focused.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61be2c2081908f39cccdc149872d completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac02974881908a7e8d9cfa47e624 completed April 3, 2026, 12:01 p.m.
NEDg Description generation batch_69cfad512ad081908e046e9d95097071 completed April 3, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69cfadf4c1fc81908df957dc0a6308dc completed April 3, 2026, 12:09 p.m.
Created at: March 30, 2026, 6:54 p.m.