Triple
T22409498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can't Be Tamed |
E553960
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Anne Preven |
—
|
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: Anne Preven | Statement: [Can't Be Tamed, producer, Anne Preven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Preven Context triple: [Can't Be Tamed, producer, Anne Preven]
-
A.
Anne Preven
chosen
Anne Preven is an American songwriter and music producer best known for co-writing the hit song "Torn" and her work across pop and rock genres.
-
B.
Mary Preston
Mary Preston is a central character in the 1927 silent war film "Wings," portrayed as a young woman entangled in a romantic triangle with two World War I fighter pilots.
-
C.
Anne Beatts
Anne Beatts was an American comedy writer and producer best known for her pioneering work on Saturday Night Live and for creating influential, offbeat television comedy.
-
D.
Amy Wright
Amy Wright is an American actress known for her character roles in films such as "Breaking Away" and "The Accidental Tourist."
-
E.
Anna Crouse
Anna Crouse is a notable member of the prominent Lindsay and Crouse family, recognized for her connection to this influential lineage.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158bb9ef88190a773d82ac9ed7a55 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.