Triple
T8656475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston City Hall |
E205430
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Edward Knowles |
E205430
|
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: Edward Knowles | Statement: [Boston City Hall, architect, Edward Knowles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Knowles Context triple: [Boston City Hall, architect, Edward Knowles]
-
A.
Edward Knowles
chosen
Edward Knowles is an architect best known for his role in designing the modernist Boston City Hall.
-
B.
Jeremy R. Knowles
Jeremy R. Knowles was a prominent British-born chemist known for his influential work in physical organic chemistry and enzymology, as well as his leadership as Dean of Harvard University's Faculty of Arts and Sciences.
-
C.
Paul Kershaw
Paul Kershaw is a Canadian policy scholar and founder of the Generation Squeeze campaign, known for his research and advocacy on generational inequality and housing affordability.
-
D.
Edward Aswell
Edward Aswell was an American editor best known for overseeing and posthumously shaping much of Thomas Wolfe’s published work.
-
E.
Andrew Crawford
Andrew Crawford is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484569788190aa41395854684e6f |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecce40c248190b4f2b21a1ecde80b |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:30 p.m.