Triple
T1011685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Trek Into Darkness |
E21836
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object | Dan Mindel |
E51081
|
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: Dan Mindel | Statement: [Star Trek Into Darkness, cinematography, Dan Mindel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Mindel Context triple: [Star Trek Into Darkness, cinematography, Dan Mindel]
-
A.
Dan Mindel
chosen
Dan Mindel is a British cinematographer known for his work on major blockbuster films, including entries in the Star Trek and Star Wars franchises.
-
B.
Michael Markowitz
Michael Markowitz is an American comedy writer best known for co-writing the hit film "Horrible Bosses."
-
C.
Rich Kleiman
Rich Kleiman is an American sports agent and entrepreneur best known as Kevin Durant’s longtime business partner and co-founder of the sports and entertainment company Boardroom and the investment firm Thirty Five Ventures.
-
D.
Matt Weitzman
Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
-
E.
Nat Mauldin
Nat Mauldin is an American screenwriter and television writer known for his work on family-oriented films and popular TV comedies.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7a743cc8190a46e6a14e3e8130f |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65078b908190a75665a2ee025db6 |
completed | March 9, 2026, 6:13 a.m. |
Created at: March 1, 2026, 7:41 p.m.