Triple
T19199833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Something Else Again |
E470075
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | John Court |
—
|
NE NERFINISHED |
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 Court | Statement: [Something Else Again, producer, John Court]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Court Context triple: [Something Else Again, producer, John Court]
-
A.
John Court
chosen
John Court is a music producer best known for his work on the album "Northern Journey."
-
B.
John Lyons
John Lyons was a prominent British linguist and semanticist known for his influential work on theoretical linguistics and the philosophy of language.
-
C.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
-
D.
John Lyons
John Lyons is a film producer known for his work on the acclaimed documentary "All the Beauty and the Bloodshed."
-
E.
William Byers
William Byers was a 19th-century American newspaperman and explorer known for his pioneering role in Colorado, including leading the first recorded ascent of Longs Peak.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f9967ac081909106aa5ea447e94d |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 10, 2026, 12:07 p.m.