Triple
T16856234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don’t Go, Don’t Go |
E409790
|
entity |
| Predicate | textAdaptation |
P43664
|
FINISHED |
| Object | English adaptation of Mirabai’s poetry |
—
|
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: English adaptation of Mirabai’s poetry | Statement: [Don’t Go, Don’t Go, textAdaptation, English adaptation of Mirabai’s poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textAdaptation Context triple: [Don’t Go, Don’t Go, textAdaptation, English adaptation of Mirabai’s poetry]
-
A.
adaptationStyle
Indicates how an entity adjusts or modifies its behavior, form, or strategy in response to changing conditions or influences.
-
B.
isAdaptation
chosen
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
C.
textMode
Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
-
D.
textModes
Indicates a relationship where an entity supports or operates in specific textual modes or formats (such as plain text, rich text, or other text-based configurations).
-
E.
adaptationType
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37d69a08190af18b421066f44f1 |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.