Triple
T20518130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Seed |
E503732
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Fabien Tordjmann |
—
|
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: Fabien Tordjmann | Statement: [Space Seed, editor, Fabien Tordjmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabien Tordjmann Context triple: [Space Seed, editor, Fabien Tordjmann]
-
A.
Fabien Tordjmann
chosen
Fabien Tordjmann is a film and television editor known for his work on projects such as the "Star Trek: The Original Series" episode "The Apple."
-
B.
Laurent Vernerey
Laurent Vernerey is a French bassist and record producer known for his extensive session work with prominent French pop and chanson artists.
-
C.
Daniel Baud-Bovy
Daniel Baud-Bovy was a Swiss writer and mountaineer known for his pioneering climbs and contributions to the cultural and literary life of early 20th-century Switzerland.
-
D.
Alain Gsponer
Alain Gsponer is a Swiss film director known for his work on contemporary adaptations and character-driven dramas, including the 2015 film "Heidi."
-
E.
Philippe Weis
Philippe Weis is a powerful and wealthy antagonist character from the science fiction film "In Time."
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f43e0b08190b043f35645b264a0 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.