Triple
T32280659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Before trilogy |
E824678
|
entity |
| Predicate | filmSeriesChronology |
P173919
|
FINISHED |
| Object | Before Sunrise → Before Sunset → Before Midnight |
—
|
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: Before Sunrise → Before Sunset → Before Midnight | Statement: [Before trilogy, filmSeriesChronology, Before Sunrise → Before Sunset → Before Midnight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSeriesChronology Context triple: [Before trilogy, filmSeriesChronology, Before Sunrise → Before Sunset → Before Midnight]
-
A.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
B.
filmSeriesStart
Indicates that a particular film marks the beginning or first installment of a film series.
-
C.
filmSeriesRelation
Indicates a relationship where one film is part of, belongs to, or is connected within a larger film series or franchise.
-
D.
seriesInception
Indicates the event or point in time at which a series is first created, launched, or begins.
-
E.
filmSeriesProtagonistOf
Indicates that a character serves as the main recurring protagonist of a particular film series.
- F. None of above. chosen
Provenance (4 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcc7edfc81909d0008fa9364de54 |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:43 a.m.