Triple
T20006956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zen |
E494483
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Cosima Shaw |
—
|
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: Cosima Shaw | Statement: [Zen, castMember, Cosima Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cosima Shaw Context triple: [Zen, castMember, Cosima Shaw]
-
A.
Cosima Shaw
chosen
Cosima Shaw is a German-British actress known for her work in science fiction and drama, including prominent roles in television and film.
-
B.
Jamie Barton
Jamie Barton is an acclaimed American mezzo-soprano opera singer known for her powerful voice and expressive performances on major international stages.
-
C.
Cosima Niehaus
Cosima Niehaus is a brilliant, dreadlocked evolutionary developmental biologist and one of the central clone characters in the science fiction TV series "Orphan Black."
-
D.
Alison Balsom
Alison Balsom is an acclaimed English classical trumpeter renowned for her solo performances, recordings, and contributions to popularizing the trumpet in contemporary classical music.
-
E.
Ellie Grainger
Ellie Grainger is an actress best known for her role in the critically acclaimed horror film "The Witch."
- 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.