Triple
T22356930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert Rudley |
E552676
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Gunsmoke |
—
|
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: Gunsmoke | Statement: [Herbert Rudley, notableWork, Gunsmoke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunsmoke Context triple: [Herbert Rudley, notableWork, Gunsmoke]
-
A.
Gunsmoke
chosen
Gunsmoke is a classic American Western television series that follows U.S. Marshal Matt Dillon as he maintains law and order in the frontier town of Dodge City.
-
B.
Bonanza
Bonanza is a classic American Western television series that aired from 1959 to 1973, following the Cartwright family on their Nevada ranch, the Ponderosa.
-
C.
Winchester '73
Winchester '73 is a classic 1950 American Western film starring James Stewart, renowned for its innovative focus on a prized rifle that links multiple characters and stories.
-
D.
Lawman
Lawman is an American Western television series that follows a dedicated marshal maintaining law and order in a frontier town.
-
E.
Lawman
Lawman is a 1971 American Western film directed by Michael Winner, known for its gritty portrayal of frontier justice and moral ambiguity.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d08b148190a9a4e445e8579219 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.