Triple
T20142741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ¡Uno! |
E491214
|
entity |
| Predicate | chronologyWithinTrilogy |
P32562
|
FINISHED |
| Object | first album of ¡Uno! ¡Dos! ¡Tré! trilogy |
—
|
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: first album of ¡Uno! ¡Dos! ¡Tré! trilogy | Statement: [¡Uno!, chronologyWithinTrilogy, first album of ¡Uno! ¡Dos! ¡Tré! trilogy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologyWithinTrilogy Context triple: [¡Uno!, chronologyWithinTrilogy, first album of ¡Uno! ¡Dos! ¡Tré! trilogy]
-
A.
chronologicalOrderInOriginalTrilogy
chosen
Indicates the sequence in which events or items appear in time within the original trilogy.
-
B.
partOfTrilogy
Indicates that one work belongs to a set of three related works that together form a trilogy.
-
C.
hasPartInTrilogy
Indicates that an entity is one of the constituent parts (e.g., books, films, or episodes) that together form a specific trilogy.
-
D.
chronologicalOrderInSeries
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
E.
hasSequelInTrilogy
Indicates that one work in a trilogy is followed by another work that serves as its sequel within that same three-part 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679bcf2c8190ac6e969178d8acde |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:33 p.m.