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.