Triple
T20149276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxwell (place name) |
E491390
|
entity |
| Predicate | isRelatedTo |
P37
|
FINISHED |
| Object | Maxwell (surname) |
—
|
NE NERFINISHED |
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: Maxwell (surname) | Statement: [Maxwell (place name), isRelatedTo, Maxwell (surname)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxwell (surname) Context triple: [Maxwell (place name), isRelatedTo, Maxwell (surname)]
-
A.
Maxwell and Maxwell
Maxwell and Maxwell was an architectural firm known for designing prominent public buildings in early 20th-century Canada.
-
B.
Maxwel
Maxwel is a given name that is a spelling variant of the more common name Maxwell.
-
C.
Maxwell
chosen
Maxwell is a common English surname of Scottish and English origin, borne by numerous notable individuals across various fields.
-
D.
Maxwell
Maxwell is the middle name of Frank Maxwell Andrews, a prominent early U.S. Army Air Forces general and aviation pioneer.
-
E.
Maxwell
Maxwell is the given first name of Max Baucus, a long-serving former U.S. Senator from Montana and onetime U.S. Ambassador to China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0c0e881909a4f21a5d22973d2 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.