Triple
T5810349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Trek: Nemesis (2002 film score) |
E128851
|
entity |
| Predicate | usesLeitmotifFor |
P31989
|
FINISHED |
| Object | Shinzon |
E497952
|
NE FINISHED |
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: Shinzon | Statement: [Star Trek: Nemesis (2002 film score), usesLeitmotifFor, Shinzon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinzon Context triple: [Star Trek: Nemesis (2002 film score), usesLeitmotifFor, Shinzon]
-
A.
Rammu
Rammu is a small Estonian island in the Gulf of Finland, known for its natural landscapes and sparse habitation.
-
B.
Andross
Andross is the primary villain of the Star Fox video game series, a mad scientist and powerful ape-like warlord who threatens the Lylat System.
-
C.
Shinya
Shinya is a Japanese given name commonly used for males.
-
D.
Sybok
chosen
Sybok is a Vulcan character in the Star Trek universe known for rejecting traditional Vulcan logic in favor of embracing and exploring emotions.
-
E.
Shinzei
Shinzei was a prominent Japanese Buddhist monk of the Heian period known for his influential role in the development and propagation of Shingon esoteric teachings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03360749481908d42fde7a74a754f |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098416504819089356b68fabdf737 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:52 p.m.