Triple
T18000979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trudie Styler |
E430623
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Xingu 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: Xingu Films | Statement: [Trudie Styler, founded, Xingu Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xingu Films Context triple: [Trudie Styler, founded, Xingu Films]
-
A.
Xingu Films
chosen
Xingu Films is a film production company known for producing independent and art-house cinema, including the movie "Moon."
-
B.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
C.
Valoria Films
Valoria Films is a film distribution company known for handling the release of various international and independent movies.
-
D.
Aquarius Films
Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
-
E.
Eldorado Films
Eldorado Films is a film production company best known for its involvement in the 1984 adventure romantic comedy "Romancing the Stone."
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e82ca48190aeb53e03c95ef223 |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.