Triple
T19868224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legally Blonde |
E477445
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Paulette Bonafonté |
—
|
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: Paulette Bonafonté | Statement: [Legally Blonde, character, Paulette Bonafonté]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paulette Bonafonté Context triple: [Legally Blonde, character, Paulette Bonafonté]
-
A.
Paulette Bonafonté
chosen
Paulette Bonafonté is a lovable, quirky Boston hairstylist and Elle Woods’s supportive friend in the musical and film versions of Legally Blonde.
-
B.
Annette Roque
Annette Roque is a Dutch former model and equestrian who gained public attention as the ex-wife of American television journalist Matt Lauer.
-
C.
Janine Perreau
Janine Perreau is an American former child actress who appeared in several films and television shows during the 1950s and 1960s.
-
D.
Paulette Morisset
Paulette Morisset is known primarily as the daughter of André Morisset.
-
E.
Marjorie Estiano
Marjorie Estiano is a Brazilian actress and singer acclaimed for her powerful television performances and international recognition.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a168288190a2fbb735d1fd30a8 |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.