Triple
T19671812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millennium |
E472351
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Stephen Lipson |
—
|
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: Stephen Lipson | Statement: [Millennium, producer, Stephen Lipson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Lipson Context triple: [Millennium, producer, Stephen Lipson]
-
A.
Stephen Lipson
chosen
Stephen Lipson is a British record producer, guitarist, and songwriter known for his work with artists such as Grace Jones, Annie Lennox, and Frankie Goes to Hollywood.
-
B.
John Lapworth
John Lapworth is a British film and sound editor known for his work on several notable feature films and television productions.
-
C.
Brad Lipson
Brad Lipson is a cinematographer known for his work on feature films such as the comedy "The Wedding Ringer."
-
D.
Brian Ruckley
Brian Ruckley is a Scottish fantasy and comic book writer best known in comics for scripting IDW Publishing’s main Transformers series.
-
E.
Roger Lupton
Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416cb0bc8190ab27dd28eebb50e7 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.