Triple
T38610395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezra Mannon |
E934460
|
entity |
| Predicate | workIsModernRetellingOf |
P165520
|
FINISHED |
| Object | Aeschylus’s Oresteia |
—
|
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: Aeschylus’s Oresteia | Statement: [Ezra Mannon, workIsModernRetellingOf, Aeschylus’s Oresteia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workIsModernRetellingOf Context triple: [Ezra Mannon, workIsModernRetellingOf, Aeschylus’s Oresteia]
-
A.
isModernReimaginingOf
chosen
Indicates that one work is a contemporary reinterpretation or updated version of another earlier work.
-
B.
hasModernAdaptations
Indicates that the subject work has been reinterpreted or recreated in contemporary forms, such as recent films, series, books, or other modern media adaptations.
-
C.
retellsStoryOf
Indicates that one entity recounts or narrates the story originally told or experienced by another entity.
-
D.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
-
E.
adaptedWorkOf
Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
- 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_69f76eccd6d081909ccce171011739a1 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.