Triple
T9653248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T.O.T.S. |
E233385
|
entity |
| Predicate | openingThemePerformer |
P21830
|
FINISHED |
| Object | Jet Jurgensmeyer |
E812376
|
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: Jet Jurgensmeyer | Statement: [T.O.T.S., openingThemePerformer, Jet Jurgensmeyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jet Jurgensmeyer Context triple: [T.O.T.S., openingThemePerformer, Jet Jurgensmeyer]
-
A.
Jet Jurgensmeyer
chosen
Jet Jurgensmeyer is an American actor and voice actor known for his roles in family-oriented television series and animated productions.
-
B.
Eric Jager
Eric Jager is an American medievalist and author best known for his historical narrative "The Last Duel," which recounts a famous 14th-century French trial by combat.
-
C.
Cy Rigler
Cy Rigler was a prominent early 20th-century American Major League Baseball umpire known for his long career in the National League and for officiating several World Series.
-
D.
Kurt Unger
Kurt Unger is a film producer best known for his work on the 1971 drama "The Love Machine," adapted from Jacqueline Susann’s novel.
-
E.
Jim Johannsen
Jim Johannsen is a character in the 1952 science fiction film "The Star," which dramatizes the human and emotional impact of an impending cosmic disaster.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb26b748190bc32e2003829b0ec |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a03438c8190a3419cbed7af4cd4 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:13 p.m.