Triple
T4853123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Nicol |
E108463
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Stephen Nicol |
E108463
|
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: Stephen Nicol | Statement: [Stephen Nicol, name, Stephen Nicol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Nicol Context triple: [Stephen Nicol, name, Stephen Nicol]
-
A.
Stephen Nicol
chosen
Stephen Nicol is a former Scottish professional footballer and versatile defender best known for his successful spell at Liverpool FC in the 1980s and early 1990s.
-
B.
Stephen Lyons
Stephen Lyons is a central character in the British drama series "Years and Years," which follows a Manchester family navigating rapid social and political changes over several decades.
-
C.
Peter Nicholas
Peter Nicholas was an American businessman and philanthropist best known as the co-founder of the medical device company Boston Scientific.
-
D.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
-
E.
Stephen Langridge
Stephen Langridge is a British opera and theatre director known for leading major European opera institutions and for his innovative, often socially engaged 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d3b00fc81909bdb95eb9648c907 |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c3e308c8190bb8319d34366bbb3 |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:26 p.m.