Triple
T3629038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale School of Architecture |
E76908
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Maya Lin |
E98585
|
NE FINISHED |
How this triple was built (2 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: Maya Lin | Statement: [Yale School of Architecture, hasNotableAlumni, Maya Lin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya Lin Context triple: [Yale School of Architecture, hasNotableAlumni, Maya Lin]
-
A.
Maya Lin
chosen
Maya Lin is an American designer and artist best known for creating the Vietnam Veterans Memorial in Washington, D.C.
-
B.
Edward Larrabee Barnes
Edward Larrabee Barnes was an American modernist architect known for his refined, minimalist designs for major cultural and educational institutions.
-
C.
Laurie Olin
Laurie Olin is a prominent American landscape architect and urban designer known for shaping major public spaces in cities across the United States.
-
D.
Arthur Erickson
Arthur Erickson was a renowned Canadian architect celebrated for his modernist designs that harmonize buildings with their surrounding landscapes.
-
E.
Michael Graves
Michael Graves was an influential American architect and designer renowned for his colorful, playful postmodern buildings and widely popular product designs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2df2b708190afef6925a53ec551 |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b433270ddc81908080698604009737 |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.