Triple
T8007380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Juvonen |
E186395
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Flower Films |
E512523
|
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: Flower Films | Statement: [Nancy Juvonen, employer, Flower Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flower Films Context triple: [Nancy Juvonen, employer, Flower Films]
-
A.
Flower Films
chosen
Flower Films is an American film and television production company co-founded by actress Drew Barrymore, known for producing a range of popular romantic comedies and dramas.
-
B.
Blossom Films
Blossom Films is a film and television production company founded by actress Nicole Kidman, known for developing high-profile, character-driven projects.
-
C.
Diaphana Films
Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur cinema.
-
D.
Ruby Films
Ruby Films is a British film and television production company known for producing high-quality period dramas and literary adaptations.
-
E.
Element Films
Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf8a6048190970685a83fd2f59d |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93a132c08190bc9a00667aa32b90 |
completed | April 1, 2026, 3:40 a.m. |
Created at: March 30, 2026, 5:18 p.m.