Triple
T18146336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rise and Fall of Ziggy Stardust and the Spiders from Mars |
E434401
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ken Scott |
—
|
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: Ken Scott | Statement: [The Rise and Fall of Ziggy Stardust and the Spiders from Mars, producer, Ken Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Scott Context triple: [The Rise and Fall of Ziggy Stardust and the Spiders from Mars, producer, Ken Scott]
-
A.
Ken Scott
chosen
Ken Scott is a renowned British record producer and audio engineer best known for his work with artists such as David Bowie, The Beatles, and Elton John.
-
B.
Ken Scott
Ken Scott is a Canadian screenwriter and director known for films such as "Starbuck," "Delivery Man," and "The Grand Seduction."
-
C.
Rob Scott
Rob Scott is a New Zealand local government leader serving as the mayor of Southland District.
-
D.
Scott Gorham
Scott Gorham is an American guitarist best known for his long tenure with the hard rock band Thin Lizzy and later work with its successor projects.
-
E.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de33921c8190b6f645ca63fd146b |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.