Triple
T8962863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Kinberg |
E214050
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Simon Kinberg |
E214050
|
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: Simon Kinberg | Statement: [Simon Kinberg, name, Simon Kinberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Kinberg Context triple: [Simon Kinberg, name, Simon Kinberg]
-
A.
Simon Kinberg
chosen
Simon Kinberg is a British-born American screenwriter and producer best known for his extensive work on the X-Men film franchise and other major Hollywood blockbusters.
-
B.
Peyton Reed
Peyton Reed is an American film director known for helming major studio comedies and Marvel superhero films, including entries in the Ant-Man series.
-
C.
Michael G. Wilson
Michael G. Wilson is an American film producer best known for co-producing numerous James Bond films and helping oversee the long-running franchise.
-
D.
Jon Hurwitz
Jon Hurwitz is an American screenwriter, producer, and director best known as the co-creator of the Harold & Kumar film series and the Netflix series Cobra Kai.
-
E.
Marc Turtletaub
Marc Turtletaub is an American film producer and director known for backing acclaimed independent and character-driven movies such as "Little Miss Sunshine" and "A Beautiful Day in the Neighborhood."
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6749e5008190a01f42a2e772dd54 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9512eec8190963aa68108691f7f |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:01 p.m.