Triple
T18026933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archie Stout |
E431277
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Archie Stout |
—
|
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: Archie Stout | Statement: [Archie Stout, name, Archie Stout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Archie Stout Context triple: [Archie Stout, name, Archie Stout]
-
A.
Archie Stout
chosen
Archie Stout was an American cinematographer best known for his work on classic Western films, particularly in collaboration with director John Ford.
-
B.
Archie Hamilton
Archie Hamilton is a British Conservative politician who served as a Member of Parliament and held the UK government role of Minister of State for the Armed Forces.
-
C.
Archie Hahn
Archie Hahn is an American character actor and comedian known for his roles in film and television, particularly in offbeat comedies.
-
D.
Archie Gates
Archie Gates is a fictional U.S. Army Special Forces major portrayed by George Clooney in the 1999 war film "Three Kings."
-
E.
Archy Stallings
Archy Stallings is a central character in Michael Chabon’s novel "Telegraph Avenue," portrayed as a middle-aged, vinyl-obsessed co-owner of a struggling used-record store in Oakland, California.
- 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_69e4b9c7be308190af0d77c0df6d94ce |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.