Triple
T20002940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Clifford Musselman |
E494380
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Musselman |
—
|
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: Musselman | Statement: [William Clifford Musselman, familyName, Musselman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Musselman Context triple: [William Clifford Musselman, familyName, Musselman]
-
A.
Musselman
chosen
Musselman is a surname most notably associated with American basketball coaches Bill Musselman and his son Eric Musselman.
-
B.
Mullins
Mullins is an English-language surname of Irish and Norman origin borne by various notable individuals across history.
-
C.
Munson
Munson is an art museum in Utica, New York, known for its diverse collection of American and European works and its role as a regional cultural center.
-
D.
Mullett
Mullett is a surname most notably associated with Alfred B. Mullett, a 19th-century American architect known for designing prominent federal buildings.
-
E.
Mathieson
Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a2e34481908a495cc5d077c41f |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.