Triple
T15339091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoolander 2 |
E366742
|
entity |
| Predicate | cinematographyBy |
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: [Zoolander 2, cinematographyBy, Dan Mindel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Mindel Context triple: [Zoolander 2, cinematographyBy, 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.
Daniel Mandell
Daniel Mandell was an American film editor renowned for his work on numerous classic Hollywood films and for winning multiple Academy Awards for Best Film Editing.
-
C.
Allan Mindel
Allan Mindel is a film producer best known for his work on the romantic drama movie "Bed of Roses."
-
D.
Andrew Neiderman
Andrew Neiderman is an American novelist best known for his horror and suspense works, including "The Devil's Advocate" and for ghostwriting novels under V. C. Andrews' name.
-
E.
Michael Markowitz
Michael Markowitz is an American comedy writer best known for co-writing the hit film "Horrible Bosses."
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff755ffbdc8190825010885e68ebc3 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 3:17 a.m.