Triple
T9578914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clueless (TV series) |
E231118
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
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.
|
E822594
|
NE FINISHED |
How this triple was built (4 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: Twink Caplan | Statement: [Clueless (TV series), starring, Twink Caplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twink Caplan Context triple: [Clueless (TV series), starring, Twink Caplan]
-
A.
Sarah Caplan
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.
Deborah Kaplan
Deborah Kaplan is an American screenwriter and film director best known for co-writing and co-directing teen comedies such as "Can't Hardly Wait."
-
D.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
E.
Cynthia Malkin
Cynthia Malkin is an American heiress and philanthropist best known as the longtime wife of U.S. Senator Richard Blumenthal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Twink Caplan Triple: [Clueless (TV series), starring, Twink Caplan]
Generated description
Twink Caplan is an American actress and producer best known for her comedic supporting roles in film and television, including the Clueless franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Twink Caplan Target entity description: Twink Caplan is an American actress and producer best known for her comedic supporting roles in film and television, including the Clueless franchise.
-
A.
Sarah Caplan
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.
Deborah Kaplan
Deborah Kaplan is an American screenwriter and film director best known for co-writing and co-directing teen comedies such as "Can't Hardly Wait."
-
D.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
E.
Cynthia Malkin
Cynthia Malkin is an American heiress and philanthropist best known as the longtime wife of U.S. Senator Richard Blumenthal.
- F. None of above. chosen
Provenance (5 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc389c248190ac10adfc49a1240d |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1ccd04b60819085a5bde42605ecf5 |
completed | April 5, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1cd70aa5481908b67afef279c38af |
completed | April 5, 2026, 2:48 a.m. |
Created at: March 30, 2026, 8:05 p.m.