Triple
T31468150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Lark |
E802775
|
entity |
| Predicate | characterInTelevisionSeries |
P12208
|
FINISHED |
| Object | Bridgette Dubois in Medium |
—
|
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: Bridgette Dubois in Medium | Statement: [Maria Lark, characterInTelevisionSeries, Bridgette Dubois in Medium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInTelevisionSeries Context triple: [Maria Lark, characterInTelevisionSeries, Bridgette Dubois in Medium]
-
A.
characterInFilmSeries
Indicates that a character appears in or is part of the cast of a particular film series.
-
B.
characterIn
chosen
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
C.
filmSeriesCharacterType
Indicates that a character belongs to or appears within a particular film series, specifying the type or role of that character in the series.
-
D.
directorCharacterOf
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
-
E.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified film.
- F. None of above.
Provenance (3 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_69f348c84c1c81908739f100ecf7394e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: April 30, 2026, 9:24 p.m.