Triple
T14464490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Carter |
E358670
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Daniel 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: Daniel Mindel | Statement: [John Carter, cinematographyBy, Daniel Mindel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Mindel Context triple: [John Carter, cinematographyBy, Daniel 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 Melnick
Daniel Melnick was an American film and television producer known for overseeing influential movies such as “Network,” “All That Jazz,” and “Altered States.”
-
C.
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.
-
D.
Allan Mindel
Allan Mindel is a film producer best known for his work on the romantic drama movie "Bed of Roses."
-
E.
Allan Mandelbaum
Allan Mandelbaum is a film producer known for his work on projects such as the 2018 movie "Welcome Home."
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91ad67bc81908ecdaa7262f6dc55 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aa904c08190b33796b832aa100f |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:19 a.m.