Triple
T22716481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivian Kensington |
E561744
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Legally Blonde franchise |
—
|
NE NERFINISHED |
How this triple was built (3 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: Legally Blonde franchise | Statement: [Vivian Kensington, partOf, Legally Blonde franchise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legally Blonde franchise Context triple: [Vivian Kensington, partOf, Legally Blonde franchise]
-
A.
Legally Blonde
Legally Blonde is a popular 2001 comedy film about a sorority girl who enrolls in Harvard Law School to win back her ex-boyfriend and discovers her own intelligence and potential.
-
B.
Legally Blondes
Legally Blondes is a direct-to-video teen comedy film that continues the Legally Blonde franchise by following Elle Woods’ British twin cousins as they navigate an elite prep school.
-
C.
Legally Blonde 2: Red, White & Blonde
Legally Blonde 2: Red, White & Blonde is a 2003 comedy film sequel that follows Elle Woods as she takes her signature pink style and legal savvy to Washington, D.C. to fight for animal rights legislation.
-
D.
Legally Blonde (novel)
Legally Blonde (novel) is a 2001 comedic novel by Amanda Brown about a fashionable sorority girl who defies stereotypes by pursuing a law degree at Harvard.
-
E.
Legally Blonde (Broadway musical)
Legally Blonde is a Broadway musical comedy, based on the hit film of the same name, that follows sorority girl Elle Woods as she enrolls at Harvard Law School to win back her ex-boyfriend and discovers her own intelligence and potential.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Legally Blonde franchise Target entity description: The Legally Blonde franchise is a popular American comedy series centered on the character Elle Woods, spanning films, a Broadway musical, and related media that celebrate female empowerment, wit, and challenging stereotypes.
-
A.
Legally Blonde
Legally Blonde is a popular 2001 comedy film about a sorority girl who enrolls in Harvard Law School to win back her ex-boyfriend and discovers her own intelligence and potential.
-
B.
Legally Blondes
Legally Blondes is a direct-to-video teen comedy film that continues the Legally Blonde franchise by following Elle Woods’ British twin cousins as they navigate an elite prep school.
-
C.
Legally Blonde 2: Red, White & Blonde
Legally Blonde 2: Red, White & Blonde is a 2003 comedy film sequel that follows Elle Woods as she takes her signature pink style and legal savvy to Washington, D.C. to fight for animal rights legislation.
-
D.
Legally Blonde (novel)
Legally Blonde (novel) is a 2001 comedic novel by Amanda Brown about a fashionable sorority girl who defies stereotypes by pursuing a law degree at Harvard.
-
E.
Legally Blonde (Broadway musical)
Legally Blonde is a Broadway musical comedy, based on the hit film of the same name, that follows sorority girl Elle Woods as she enrolls at Harvard Law School to win back her ex-boyfriend and discovers her own intelligence and potential.
- F. None of above. chosen
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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790e14c88190af6acb27910ae9c1 |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:19 p.m.