Triple
T26031428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simultaneous Windows |
E647439
|
entity |
| Predicate | hasSeriesTitleInLanguage |
P59160
|
FINISHED |
| Object | Fenêtres simultanées |
—
|
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: Fenêtres simultanées | Statement: [Simultaneous Windows, hasSeriesTitleInLanguage, Fenêtres simultanées]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesTitleInLanguage Context triple: [Simultaneous Windows, hasSeriesTitleInLanguage, Fenêtres simultanées]
-
A.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
B.
hasTitleInLanguage
Indicates that an entity has a specific title expressed in a particular language.
-
C.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
D.
collectiveTitleLanguage
chosen
Indicates the language in which a collective or series title is expressed.
-
E.
languageOfSeries
Indicates the language in which a series is primarily produced, presented, or officially released.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 22, 2026, 9:06 a.m.