Triple
T10572922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War & Leisure |
E249535
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sir Dylan |
E249535
|
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: Sir Dylan | Statement: [War & Leisure, producer, Sir Dylan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Dylan Context triple: [War & Leisure, producer, Sir Dylan]
-
A.
Sir Dylan
chosen
Sir Dylan is a music producer best known for his work on Miguel’s album "War & Leisure."
-
B.
Samuel Dylan
Samuel Dylan is one of Bob Dylan and Sara Lowndes's children, known primarily for his connection to the iconic musician's family.
-
C.
Dylan
Dylan is a surname most famously associated with American singer-songwriter Bob Dylan and his artistic family.
-
D.
Dylan
Dylan is a multi-paradigm programming language designed for dynamic, object-oriented application development, known for combining Lisp-like semantics with a more conventional, infix syntax.
-
E.
Dylan
Dylan is a play by Sidney Michaels that dramatizes the life and work of Welsh poet Dylan Thomas.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274929cc81909a79d5e2049f7389 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b55d0f88190bd6853603f67e88d |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:37 p.m.