Triple
T15044969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stay With Me |
E379199
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | James Napier |
E756020
|
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: James Napier | Statement: [Stay With Me, writer, James Napier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Napier Context triple: [Stay With Me, writer, James Napier]
-
A.
James Napier
chosen
James Napier, also known as Jimmy Napes, is a British songwriter and record producer recognized for his work with artists like Clean Bandit and Sam Smith.
-
B.
Russell Napier
Russell Napier was a Scottish actor known for his character roles in mid-20th-century British film and television.
-
C.
Kedar Williams-Stirling
Kedar Williams-Stirling is a British actor best known for his role as Jackson Marchetti in the Netflix comedy-drama series "Sex Education."
-
D.
Alan Napier
Alan Napier was an English character actor best known for playing Alfred Pennyworth in the 1960s Batman television series.
-
E.
Callum Connor
Callum Connor is a music producer best known for his work with the hip-hop collective and label Ventura.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de54380819084568664b63322d2 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.