Triple
T20232287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Golden Voyage of Sinbad |
E495557
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Kurt Christian |
—
|
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: Kurt Christian | Statement: [The Golden Voyage of Sinbad, castMember, Kurt Christian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurt Christian Context triple: [The Golden Voyage of Sinbad, castMember, Kurt Christian]
-
A.
Kurt Christian
chosen
Kurt Christian is a British actor best known for his roles in 1970s fantasy and adventure films, particularly in Ray Harryhausen–associated productions.
-
B.
Kurt Frederick
Kurt Frederick was a conductor best known for leading the premiere performance of Arnold Schoenberg’s cantata "A Survivor from Warsaw."
-
C.
Kurt Back
Kurt Back was a social psychologist known for his collaborative research in social behavior and group dynamics, including work with Leon Festinger.
-
D.
Kurt
Kurt is a close associate of Scott Lang in the Marvel universe, known as one of his quirky ex-con partners in crime and heists.
-
E.
Kurt
Kurt is a given name most famously associated with the logician and mathematician Kurt Gödel.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fddafac819089cef4158f5e0ab5 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.