Triple
T1005099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Roger Stephens |
E21690
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | John Roger Stephens |
E21690
|
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 Roger Stephens | Statement: [John Roger Stephens, birthName, John Roger Stephens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Roger Stephens Context triple: [John Roger Stephens, birthName, John Roger Stephens]
-
A.
John Roger Stephens
chosen
John Roger Stephens, better known as John Legend, is an American singer, songwriter, pianist, and actor renowned for his soulful R&B music and multiple Grammy Awards.
-
B.
John Dustin Archbold
John Dustin Archbold was an American industrialist and key executive of the Standard Oil Company who became one of the most prominent figures in the early U.S. petroleum industry.
-
C.
Caleb Murray
Caleb Murray is one of actor and comedian Bill Murray’s sons, known primarily for his connection to the Murray family.
-
D.
Jonathan Stokes
Jonathan Stokes was an 18th-century English physician and botanist associated with the influential Lunar Society of Birmingham.
-
E.
Andrew Dunn
Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b51303548190a5ee3c0797fc3245 |
completed | March 1, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f675824819091de0a83b2a6a0b3 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:41 p.m.