Triple
T24642882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastián de Vivanco |
E610020
|
entity |
| Predicate | sharesEraWith |
P3438
|
FINISHED |
| Object | Tomás Luis de Victoria |
—
|
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: Tomás Luis de Victoria | Statement: [Sebastián de Vivanco, sharesEraWith, Tomás Luis de Victoria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesEraWith Context triple: [Sebastián de Vivanco, sharesEraWith, Tomás Luis de Victoria]
-
A.
associatedWithEraStar
Indicates a relationship where something is linked or connected to a particular era of a star’s existence or development.
-
B.
followsEra
Indicates that one time period or era comes directly after another in chronological order.
-
C.
subjectHasEra
Indicates that a subject is associated with, defined by, or belongs to a particular historical or temporal era.
-
D.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
E.
sharesHistoryWith
chosen
Indicates that two entities have a common or overlapping past, such as shared experiences, events, or origins.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f40db2b5e08190bb55d02a4ceba306 |
completed | May 1, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d2b20881908dcc3b15cbe3e5b0 |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:33 a.m.