Triple
T16027461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graham Russell |
E388753
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Graham Russell |
E388753
|
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: Graham Russell | Statement: [Graham Russell, name, Graham Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graham Russell Context triple: [Graham Russell, name, Graham Russell]
-
A.
Graham Russell
chosen
Graham Russell is an English musician and songwriter best known as the co-founder and guitarist of the soft rock duo Air Supply.
-
B.
Graham Hamilton
"Graham Hamilton" is a lesser-known work by Lady Caroline Lamb, an early 19th-century British aristocrat and novelist best remembered for her scandalous affair with Lord Byron and her novel "Glenarvon."
-
C.
Graham Rogers
Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
-
D.
Graham Lyle
Graham Lyle is a Scottish singer-songwriter and musician best known as half of the duo Gallagher and Lyle and for co-writing numerous hit songs for artists such as Tina Turner.
-
E.
Graham Heid
Graham Heid was an American animation director and story artist best known for his work on classic Walt Disney films during the Golden Age of animation.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183294984819080b8727a3511a21b |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ec9fb3881908df8d3d318cbd238 |
completed | May 10, 2026, 11:40 a.m. |
Created at: April 10, 2026, 4:56 a.m.