Triple
T19868221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legally Blonde |
E477445
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Emmett Richmond |
—
|
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: Emmett Richmond | Statement: [Legally Blonde, character, Emmett Richmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmett Richmond Context triple: [Legally Blonde, character, Emmett Richmond]
-
A.
Emmett Richmond
chosen
Emmett Richmond is a charming and supportive lawyer character best known as Elle Woods’s love interest in the "Legally Blonde" film series.
-
B.
Emmett Lynn
Emmett Lynn was an American character actor known for his prolific appearances in Westerns and B-movies during the 1930s–1950s.
-
C.
Emmett Malloy
Emmett Malloy is an American film and music video director and producer, known for his work with artists like Jack Johnson and for co-founding the production duo The Malloys.
-
D.
Emmett Clark
Emmett Clark is a hardware store owner and comic supporting character in the Mayberry universe, featured prominently in the television series Mayberry R.F.D.
-
E.
Emmett
Emmett is the eccentric time-traveling scientist from the Back to the Future film series, best known for inventing the DeLorean time machine.
- 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.