Triple
T16108226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Benton |
E390797
|
entity |
| Predicate | hasRomanticRelationshipWith |
P9994
|
FINISHED |
| Object | Jeanie Boulet |
—
|
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: Jeanie Boulet | Statement: [Peter Benton, hasRomanticRelationshipWith, Jeanie Boulet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeanie Boulet Context triple: [Peter Benton, hasRomanticRelationshipWith, Jeanie Boulet]
-
A.
Jeanie Boulet
chosen
Jeanie Boulet is a physician assistant and later HIV-positive health advocate on the television medical drama "ER."
-
B.
Kelly Dombrowski
Kelly Dombrowski is an individual notable for bearing the surname Dombrowski, though specific widely recognized public achievements or roles are not well documented.
-
C.
Julie Hickson
Julie Hickson is a film producer best known for her work on Tim Burton’s early short film "Frankenweenie" (1984).
-
D.
Julie LeBreton
Julie LeBreton is a Canadian actress known for her work in film and television, particularly in French-language productions.
-
E.
Erin Burkett
Erin Burkett is an American music industry executive and co-founder of the influential punk rock record label Fat Wreck Chords.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20165aa9c81908c5358cca2b0d0fe |
completed | April 17, 2026, 9:46 a.m. |
Created at: April 10, 2026, 5 a.m.