Triple
T20183371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Some Kind of Wonderful |
E492789
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | M. Scott Smith |
—
|
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: M. Scott Smith | Statement: [Some Kind of Wonderful, editor, M. Scott Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M. Scott Smith Context triple: [Some Kind of Wonderful, editor, M. Scott Smith]
-
A.
M. Scott Smith
chosen
M. Scott Smith is a film editor best known for his work on the crime thriller "To Live and Die in L.A."
-
B.
James H. Merrell
James H. Merrell is an American historian and ethnohistorian known for his influential scholarship on Native American history and cultures in colonial North America.
-
C.
Kent R. Weeks
Kent R. Weeks is an American Egyptologist best known for his rediscovery and excavation of the vast tomb KV5 in the Valley of the Kings.
-
D.
Russell Patterson
Russell Patterson is an American conductor best known for his leadership roles with major U.S. orchestras, including serving as music director of the Kansas City Symphony.
-
E.
Rand Brooks
Rand Brooks was an American film and television actor best known for his roles in classic Hollywood productions such as "Gone with the Wind" and numerous Westerns.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.