Triple
T171252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yma Sumac |
E3125
|
entity |
| Predicate | hasOnlineEncyclopediaEntry |
P7959
|
FINISHED |
| Object | https://en.wikipedia.org/wiki/Yma_Sumac |
—
|
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: https://en.wikipedia.org/wiki/Yma_Sumac | Statement: [Yma Sumac, hasOnlineEncyclopediaEntry, https://en.wikipedia.org/wiki/Yma_Sumac]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnlineEncyclopediaEntry Context triple: [Yma Sumac, hasOnlineEncyclopediaEntry, https://en.wikipedia.org/wiki/Yma_Sumac]
-
A.
knownFrom
Indicates that one entity is aware of, has learned about, or recognizes another entity through a specified source, context, or medium.
-
B.
popularizedBy
Indicates that something became widely known, accepted, or fashionable as a result of the influence or actions of a particular agent.
-
C.
popularizedIn
Indicates that something became widely known, accepted, or fashionable within a particular place, time period, or context.
-
D.
notablyAssociatedWith
Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
-
E.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a25a3f9d188190aacf5791273e2c65 |
completed | Feb. 28, 2026, 3 a.m. |
| PD | Predicate disambiguation | batch_69a25667717c8190bac5108366e2178d |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a25a3ee6d08190a451ddba7504ce9b |
completed | Feb. 28, 2026, 3 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.