Triple
T16228900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stone Cold |
E393927
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | John Stone |
E1055722
|
NE FINISHED |
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: John Stone | Statement: [Stone Cold, character, John Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Stone Context triple: [Stone Cold, character, John Stone]
-
A.
John Stone
chosen
John Stone is a beleaguered, eczema-ridden defense attorney whose dogged, unglamorous work anchors the crime drama miniseries "The Night Of."
-
B.
Gordon Stone
Gordon Stone is an American local government leader who serves as the longtime mayor of Pike Road, Alabama.
-
C.
Neil Sutherland
Neil Sutherland is a dim-witted yet lovable sixth-form student and one of the four central teenage protagonists in the British sitcom "The Inbetweeners."
-
D.
Colin Stone
Colin Stone is the legal guardian who raised British actor Orlando Bloom after the death of Bloom's biological father.
-
E.
Tom Stone
Tom Stone is an American soccer coach best known for his work in women’s soccer, including collegiate and professional teams.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2889688190ac04e4e9479cabf4 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079e83f08190a260751fd8b55eef |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.