Triple
T20006966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zen |
E494483
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Debbie Wiseman |
—
|
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: Debbie Wiseman | Statement: [Zen, composer, Debbie Wiseman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debbie Wiseman Context triple: [Zen, composer, Debbie Wiseman]
-
A.
Debbie Wiseman
chosen
Debbie Wiseman is a British composer and conductor renowned for her film, television, and ceremonial music.
-
B.
Adele Wiseman
Adele Wiseman was a Canadian novelist and writer known for her explorations of Jewish immigrant life and identity, particularly in works like "The Sacrifice."
-
C.
Laurie Nunn
Laurie Nunn is a British screenwriter and playwright best known for creating the hit Netflix teen comedy-drama series "Sex Education."
-
D.
Martina Topley-Bird
Martina Topley-Bird is an English vocalist, songwriter, and producer best known for her influential collaborations with trip-hop pioneer Tricky and her role in shaping the Bristol sound.
-
E.
Diane Warren
Diane Warren is a prolific American songwriter renowned for crafting numerous chart-topping pop and power ballads for major artists since the 1980s.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.