Triple
T14235328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Political Animals |
E352861
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Sarah Caplan |
E660371
|
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: Sarah Caplan | Statement: [Political Animals, executiveProducer, Sarah Caplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Caplan Context triple: [Political Animals, executiveProducer, Sarah Caplan]
-
A.
Sarah Caplan
chosen
Sarah Caplan is a television producer best known for her work as an executive producer on the family drama series "Brothers & Sisters."
-
B.
Elizabeth Anne Caplan
Elizabeth Anne Caplan is an American actress known for her roles in films like "Mean Girls" and the television series "Masters of Sex."
-
C.
Twink Caplan
Twink Caplan is an American actress and producer best known for her comedic supporting roles in film and television, including the Clueless franchise.
-
D.
Kathryn Chetkovich
Kathryn Chetkovich is an American writer and essayist known for her fiction and for her widely discussed essay about envy and literary success.
-
E.
Katherine Spiegel
Katherine Spiegel was the wife of prominent American film director and producer Mervyn LeRoy.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62411c888190a154acd56fe3fcaf |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde15f2cd8819085f949fa5122af2a |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:07 a.m.