Triple
T5566743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Contemporary Arts |
E145897
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ICA
ICA is a renowned London-based cultural institution dedicated to showcasing and supporting innovative contemporary art, film, and ideas.
|
E533105
|
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: ICA | Statement: [Institute of Contemporary Arts, shortName, ICA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ICA Context triple: [Institute of Contemporary Arts, shortName, ICA]
-
A.
ICA
The International Cooperation Administration (ICA) was a U.S. government agency responsible for administering foreign economic and technical assistance programs during the 1950s.
-
B.
ICA
ICA is a contemporary art museum in Philadelphia known for its innovative exhibitions and support of emerging artists.
-
C.
IC
IC is a common abbreviation for Iowa City, a university-centered community best known as the home of the University of Iowa and its renowned Writers' Workshop.
-
D.
IC
IC is a category of long-distance passenger trains in Poland, operated by PKP Intercity and offering intercity connections between major cities.
-
E.
CI
CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
- 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: ICA Triple: [Institute of Contemporary Arts, shortName, ICA]
Generated description
ICA is a renowned London-based cultural institution dedicated to showcasing and supporting innovative contemporary art, film, and ideas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ICA Target entity description: ICA is a renowned London-based cultural institution dedicated to showcasing and supporting innovative contemporary art, film, and ideas.
-
A.
ICA
ICA is a contemporary art museum in Philadelphia known for its innovative exhibitions and support of emerging artists.
-
B.
ICA
The International Cooperation Administration (ICA) was a U.S. government agency responsible for administering foreign economic and technical assistance programs during the 1950s.
-
C.
IC
IC is a common abbreviation for Iowa City, a university-centered community best known as the home of the University of Iowa and its renowned Writers' Workshop.
-
D.
IC
IC is a category of long-distance passenger trains in Poland, operated by PKP Intercity and offering intercity connections between major cities.
-
E.
CI
CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02034fc3081908920c52a19d462e1 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c028485ba081908565f7f852278cfc |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c0384874d0819082ba855bfe6f2ba4 |
completed | March 22, 2026, 6:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c038e5dccc8190a5e1ec45712c00a3 |
completed | March 22, 2026, 6:45 p.m. |
Created at: March 22, 2026, 3:36 p.m.