Triple
T382068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridget Jones’s Diary |
E8701
|
entity |
| Predicate | leadActressNationality |
P3285
|
FINISHED |
| Object | American |
—
|
LITERAL FINISHED |
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: American | Statement: [Bridget Jones’s Diary, leadActressNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActressNationality Context triple: [Bridget Jones’s Diary, leadActressNationality, American]
-
A.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
B.
performingArtistNationality
chosen
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
C.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
-
D.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
E.
notableStar
Indicates that the subject is a star (or stellar object) that is distinguished or noteworthy in some significant way, such as brightness, fame, or scientific interest, relative to other stars.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2e3d5c8190b358bd9fd6b16a14 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96602188190b0cbc167f55a9237 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.