Triple
T19090974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fall (2006 film) |
E467279
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Googly Films |
—
|
NE NERFINISHED |
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: Googly Films | Statement: [The Fall (2006 film), producer, Googly Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Googly Films Context triple: [The Fall (2006 film), producer, Googly Films]
-
A.
Googly Films
chosen
Googly Films is a film production company best known for producing the visually striking fantasy drama "The Fall" (2006).
-
B.
See-Saw Films
See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
-
C.
Tapioca Films
Tapioca Films is a French film production company known for working on visually inventive and offbeat projects such as Jean-Pierre Jeunet’s "Micmacs à tire-larigot."
-
D.
Pokeepsie Films
Pokeepsie Films is a Spanish film production company co-founded and led by filmmaker Álex de la Iglesia, known for producing genre and independent cinema.
-
E.
Echo Films
Echo Films is a film and television production company co-founded by Jennifer Aniston, known for producing character-driven projects including the series "The Morning Show."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34b6b348190bb868356ed8b655a |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.