Triple
T4962428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Turtletaub |
E111439
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Big Beach Films |
E99352
|
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: Big Beach Films | Statement: [Marc Turtletaub, founded, Big Beach Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Beach Films Context triple: [Marc Turtletaub, founded, Big Beach Films]
-
A.
Big Beach Films
chosen
Big Beach Films is an independent film production company known for character-driven, emotionally resonant movies such as "Little Miss Sunshine" and other acclaimed features.
-
B.
Bay Films
Bay Films is a film production company founded by director Michael Bay, known for producing high-octane action movies and large-scale Hollywood blockbusters.
-
C.
B-Reel Films
B-Reel Films is a Swedish film and television production company known for producing documentaries and narrative features, including the climate-focused film "I Am Greta."
-
D.
Beyond Films
Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
-
E.
MadRiver Pictures
MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71f3e6148190b99f35734220ffc3 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81ea8cc08190af40098ca99364f1 |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:32 p.m.