Triple
T18026753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wayne as Tom Doniphon |
E431271
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Shinbone |
—
|
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: Shinbone | Statement: [John Wayne as Tom Doniphon, setting, Shinbone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinbone Context triple: [John Wayne as Tom Doniphon, setting, Shinbone]
-
A.
Shinbone
chosen
Shinbone is the fictional frontier town in the classic Western film "The Man Who Shot Liberty Valance," serving as the central setting for its story of law, legend, and political change.
-
B.
Grünbein
Grünbein is a German surname most notably borne by the contemporary poet and essayist Durs Grünbein.
-
C.
Bone
Bone is a hard, calcified connective tissue that forms the structural framework of the skeleton in vertebrate animals.
-
D.
Bone
The B-1B Lancer, nicknamed "Bone," is a U.S. long-range supersonic strategic bomber known for its variable-sweep wings and low-level penetration capabilities.
-
E.
Schievelbein
Schievelbein is a historic town in Pomerania, now known as Świdwin in northwestern Poland.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c6a4208190846ed28681ba7daa |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.