Triple
T18963423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Jordan |
E463967
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lawman |
—
|
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: Lawman | Statement: [Richard Jordan, notableWork, Lawman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawman Context triple: [Richard Jordan, notableWork, Lawman]
-
A.
Lawman
chosen
Lawman is a 1971 American Western film directed by Michael Winner, known for its gritty portrayal of frontier justice and moral ambiguity.
-
B.
Gunsmoke
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.
-
C.
The Gunfighter
The Gunfighter is a comedic short film that parodies classic Westerns by featuring a self-aware narrator who disrupts the lives of saloon patrons.
-
D.
The Gunfighter
The Gunfighter is a 1950 American Western film starring Gregory Peck as an aging gunslinger trying to escape his violent past.
-
E.
The Man from Texas
The Man from Texas is a 1948 American Western film featuring actor James Craig in a leading role.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d420f481909aa22a0d22ac4af1 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon