Triple
T5683292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Coins in the Fountain |
E125247
|
entity |
| Predicate | isFromFilmGenre |
P9709
|
FINISHED |
| Object | romantic drama |
—
|
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: romantic drama | Statement: [Three Coins in the Fountain, isFromFilmGenre, romantic drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFromFilmGenre Context triple: [Three Coins in the Fountain, isFromFilmGenre, romantic drama]
-
A.
filmType
chosen
Indicates the specific category or genre that a film belongs to.
-
B.
basedInFilm
Indicates that something (such as a character, event, or work) is situated, set, or primarily located within the context or universe of a particular film.
-
C.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
D.
distributedFilmType
Indicates that a film was distributed in a particular format or category of distribution.
-
E.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.