Triple
T11465632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Savages |
E271772
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tamara Jenkins |
E926841
|
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: Tamara Jenkins | Statement: [The Savages, producer, Tamara Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamara Jenkins Context triple: [The Savages, producer, Tamara Jenkins]
-
A.
Tamara Jenkins
chosen
Tamara Jenkins is an American filmmaker and screenwriter best known for her sharp, character-driven independent films such as "Slums of Beverly Hills" and "The Savages."
-
B.
Nessa Jenkins
Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
-
C.
Shelley Jenkins
Shelley Jenkins is best known as the wife of former England rugby union star Jonny Wilkinson.
-
D.
Tamara Miller
Tamara Miller is a member of the Disney family and a granddaughter of Walt Disney through his daughter Diane Disney Miller.
-
E.
Tamara Johnson-McGoldrick
Tamara Johnson-McGoldrick is the wife of American screenwriter David Leslie Johnson-McGoldrick and is associated with his work in the film industry.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fef311c4819094b6b08a62d3afb3 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 8, 2026, 9:35 p.m.