Triple
T20006951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zen |
E494483
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Ed Stoppard |
—
|
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: Ed Stoppard | Statement: [Zen, castMember, Ed Stoppard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Stoppard Context triple: [Zen, castMember, Ed Stoppard]
-
A.
Ed Stoppard
chosen
Ed Stoppard is a British actor known for his work in film, television, and theatre, and for being the son of playwright Tom Stoppard.
-
B.
Tom Stoppard
Tom Stoppard is a renowned British playwright and screenwriter known for his intellectually playful, linguistically inventive works such as "Rosencrantz and Guildenstern Are Dead" and numerous acclaimed stage and film scripts.
-
C.
Stoppard
Stoppard is a surname most prominently associated with figures such as British playwright Tom Stoppard and physician and broadcaster Miriam Stoppard.
-
D.
Barnaby Stoppard
Barnaby Stoppard is a child of the Czech-born British playwright Tom Stoppard (born Tomáš Straussler).
-
E.
Stephen Schaffer
Stephen Schaffer is a film editor best known for his work on major animated features, including Pixar's acclaimed movie WALL-E.
- 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.