Triple
T22210659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wicked Part One |
E548934
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Fiyero |
—
|
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: Fiyero | Statement: [Wicked Part One, featuresCharacter, Fiyero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiyero Context triple: [Wicked Part One, featuresCharacter, Fiyero]
-
A.
Fiyero
Fiyero is a central character in the musical and novel "Wicked," portrayed as a carefree prince who becomes Elphaba's love interest and undergoes significant moral growth.
-
B.
Fiyero Tiggular
chosen
Fiyero Tiggular is a principal character in the musical "Wicked," a carefree prince who becomes Elphaba's love interest and undergoes a significant moral transformation.
-
C.
Firyal
Firyal is a Jordanian princess and philanthropist known for her humanitarian work and involvement in international cultural and charitable organizations.
-
D.
Zayne
Zayne is a given name, often used as a modern variant of Zane, associated with contemporary and stylish connotations.
-
E.
Lehae
Lehae is a residential suburb located in the southern part of Johannesburg, South Africa.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2bcf748190a9721f0c9ae17e70 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.