Triple
T27817542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwin Drood |
E702715
|
entity |
| Predicate | notableStageAdaptation |
P56729
|
FINISHED |
| Object | Drood |
—
|
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: Drood | Statement: [Edwin Drood, notableStageAdaptation, Drood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStageAdaptation Context triple: [Edwin Drood, notableStageAdaptation, Drood]
-
A.
notableAdaptation
Indicates that one work is a significant adaptation or reinterpretation of another work.
-
B.
notableAdaptationElement
Indicates that one work is a significant adaptation or reinterpretation of another work.
-
C.
notableAdaptationType
chosen
Indicates that one work is a significant adaptation of another work in a specific way or medium (e.g., film adaptation, stage adaptation).
-
D.
notableAdaptationStudio
Indicates that a particular studio is especially recognized for creating an adaptation of the subject work or property.
-
E.
notableForAdaptationsOf
Indicates that one entity is recognized or distinguished for creating, producing, or being associated with adaptations of another entity.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_6a0041860fd081908623ef9fd40a9775 |
completed | May 10, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_6a00414b01488190a312adb3b25d69cf |
completed | May 10, 2026, 8:26 a.m. |
Created at: April 27, 2026, 5:46 p.m.