Triple
T10468651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sense8 |
E246868
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Tom Tykwer |
E387871
|
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: Tom Tykwer | Statement: [Sense8, composer, Tom Tykwer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Tykwer Context triple: [Sense8, composer, Tom Tykwer]
-
A.
Tom Tykwer
chosen
Tom Tykwer is a German film director, screenwriter, and composer known for visually inventive works like "Run Lola Run" and for scoring and co-directing ambitious international films.
-
B.
Chris Noonan
Chris Noonan is an Australian film director best known for helming the acclaimed family film "Babe" and later the biographical drama "Miss Potter."
-
C.
Ken Biller
Ken Biller is a television writer, producer, and director best known for his work on series such as "Star Trek: Voyager" and "Genius."
-
D.
Darren Aronofsky
Darren Aronofsky is an American filmmaker known for his psychologically intense, visually distinctive films such as "Requiem for a Dream," "Black Swan," and "The Wrestler."
-
E.
Matthew Hannam
Matthew Hannam is a Canadian film and television editor known for his work on acclaimed independent films and series.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ff1cd948190a1ef331fb810bf26 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:20 p.m.