Triple
T7918172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kronk |
E183878
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | Yzma |
E700220
|
NE 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: Yzma | Statement: [Kronk, affiliation, Yzma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yzma Context triple: [Kronk, affiliation, Yzma]
-
A.
Yzma
chosen
Yzma is the power-hungry, comically villainous royal advisor and sorceress who schemes to overthrow Emperor Kuzco in Disney's animated film "The Emperor's New Groove."
-
B.
Mombi
Mombi is a wicked witch from L. Frank Baum’s Oz series, best known for usurping and enchanting Princess Ozma to conceal her true identity.
-
C.
Jafar
Jafar is the primary villain and power-hungry sorcerer from Disney’s Aladdin franchise, known for his scheming ambition to seize control of Agrabah.
-
D.
Velma Von Tussle
Velma Von Tussle is a vain, racist, and manipulative TV station manager and former beauty queen who serves as one of the main antagonists in the musical and film "Hairspray."
-
E.
Madame Morrible
Madame Morrible is the manipulative headmistress and sorceress from the musical and novel "Wicked," known for orchestrating political schemes in the land of Oz.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a8fbbb48190b50def4941761a31 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc563cb0a081909ed43ff45a8a1fa0 |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:05 p.m.