Triple
T9035116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troy Miller |
E216469
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Dakota Pictures |
E200732
|
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: Dakota Pictures | Statement: [Troy Miller, employer, Dakota Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dakota Pictures Context triple: [Troy Miller, employer, Dakota Pictures]
-
A.
Dakota Pictures
chosen
Dakota Pictures is an American television and film production company known for producing comedy specials, series, and stand-up performances for major networks and platforms.
-
B.
Benaroya Pictures
Benaroya Pictures is an independent film production company known for financing and producing a range of critically acclaimed and commercially successful feature films.
-
C.
Sierra Pictures
Sierra Pictures was a film production company active in mid-20th-century Hollywood, known for producing works such as the 1948 historical drama "Joan of Arc."
-
D.
Keystone Pictures
Keystone Pictures is a film production company best known for producing the family sports comedy movie "Air Bud."
-
E.
Sycamore Pictures
Sycamore Pictures is an American film production company known for financing and producing independent and mid-budget feature films.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6abf4af481908d21245332329d99 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbce352c8190b5862d0cc103bfdb |
completed | April 3, 2026, 3:25 p.m. |
Created at: March 30, 2026, 7:08 p.m.