Triple
T4808759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let right be done |
E107011
|
entity |
| Predicate | notableUseInAdaptationOf |
P45647
|
FINISHED |
| Object | The Winslow Boy (film adaptations) |
—
|
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: The Winslow Boy (film adaptations) | Statement: [Let right be done, notableUseInAdaptationOf, The Winslow Boy (film adaptations)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableUseInAdaptationOf Context triple: [Let right be done, notableUseInAdaptationOf, The Winslow Boy (film adaptations)]
-
A.
usedInAdaptation
chosen
Indicates that something (such as a character, plot element, or work) is incorporated or appears within an adaptation of another original source.
-
B.
notableUse
Indicates that something is prominently or famously used by a particular entity, context, or for a specific purpose.
-
C.
notableAdaptation
Indicates that one work is a significant adaptation or reinterpretation of another work.
-
D.
notableAdaptationType
Indicates that one work is a significant adaptation of another work in a specific way or medium (e.g., film adaptation, stage adaptation).
-
E.
basedOnAdaptationsOf
Indicates that something is derived from or created using one or more prior adaptations of an original work, rather than directly from the original source.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.