Triple
T31658870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nidhi Chala Sukhama |
E807938
|
entity |
| Predicate | isFrequentlyRenderedIn |
P156299
|
FINISHED |
| Object | vocal concerts |
—
|
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: vocal concerts | Statement: [Nidhi Chala Sukhama, isFrequentlyRenderedIn, vocal concerts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlyRenderedIn Context triple: [Nidhi Chala Sukhama, isFrequentlyRenderedIn, vocal concerts]
-
A.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
-
B.
isFrequentlyIncludedIn
Indicates that something is regularly or commonly contained or made part of something else.
-
C.
isRenderingOf
Indicates that one entity is a visual or graphical depiction or representation of another entity.
-
D.
isOftenPresentedBy
chosen
Indicates that one entity is frequently the agent, host, or medium through which another entity is shown, delivered, or made available.
-
E.
isFrequentlyInterpreted
Indicates that something is often understood, explained, or given meaning in a particular way or through repeated acts of interpretation.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 10:56 p.m.