Triple
T20384269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wicked (novel) |
E497919
|
entity |
| Predicate | hasAdaptation |
P1690
|
FINISHED |
| Object | Wicked (musical) |
—
|
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: Wicked (musical) | Statement: [Wicked (novel), hasAdaptation, Wicked (musical)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wicked (musical) Context triple: [Wicked (novel), hasAdaptation, Wicked (musical)]
-
A.
Wicked (musical)
chosen
Wicked is a hit Broadway musical that reimagines the backstory of the witches from "The Wizard of Oz," featuring music and lyrics by Stephen Schwartz and a book by Winnie Holzman.
-
B.
Wicked
"Wicked" is a song featured on Charlie Puth's debut studio album, Nine Track Mind.
-
C.
Wicked
Wicked is a component or segment of the larger work "Necessary Evil," likely representing a distinct chapter, episode, or storyline within that overarching title.
-
D.
Wicked
Wicked is a 1998 psychological thriller film starring Vanessa Zima as a troubled teenager entangled in murder and obsession.
-
E.
WICKED
WICKED is the powerful and morally ambiguous organization in James Dashner’s Maze Runner series that conducts brutal experiments on teenagers in a desperate attempt to find a cure for a global disease.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.