Triple
T22269640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vertigo |
E550439
|
entity |
| Predicate | openingCountInPhrase |
P147618
|
FINISHED |
| Object | Uno, dos, tres, catorce |
—
|
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: Uno, dos, tres, catorce | Statement: [Vertigo, openingCountInPhrase, Uno, dos, tres, catorce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingCountInPhrase Context triple: [Vertigo, openingCountInPhrase, Uno, dos, tres, catorce]
-
A.
openingVerb
Indicates that an entity performs the initial or primary action that begins an event, process, or interaction.
-
B.
isOpeningNumberOf
Indicates that something serves as the first or initial item in the numbered sequence of another entity.
-
C.
openingStyle
Indicates how something is initially presented, introduced, or begun in terms of manner, format, or approach.
-
D.
openingDynamic
Indicates that one entity initiates or begins another entity or process in a way that can change or vary over time or context.
-
E.
openingBegan
Indicates that the process of opening something has started.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bf53a481909e2c79de4144f332 |
completed | April 28, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:40 p.m.