Triple
T20060789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica Fuentes |
E499465
|
entity |
| Predicate | filmSeriesOrder |
P90856
|
FINISHED |
| Object | second Fast & Furious film |
—
|
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: second Fast & Furious film | Statement: [Monica Fuentes, filmSeriesOrder, second Fast & Furious film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSeriesOrder Context triple: [Monica Fuentes, filmSeriesOrder, second Fast & Furious film]
-
A.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
B.
filmSeriesRelation
chosen
Indicates a relationship where one film is part of, belongs to, or is connected within a larger film series or franchise.
-
C.
filmAppearanceOrder
Indicates the sequence in which a character or element appears within a film, relative to other appearances.
-
D.
filmSeriesStart
Indicates that a particular film marks the beginning or first installment of a film series.
-
E.
filmSeriesEnd
Indicates that a particular film marks the conclusion or final installment of a film series.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637601dc8190a07fc20844093cb7 |
completed | April 20, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:38 p.m.