Triple
T20270154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For Good |
E499070
|
entity |
| Predicate | associatedWithRole |
P2830
|
FINISHED |
| Object | Glinda (Kristin Chenoweth) |
—
|
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: Glinda (Kristin Chenoweth) | Statement: [For Good, associatedWithRole, Glinda (Kristin Chenoweth)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glinda (Kristin Chenoweth) Context triple: [For Good, associatedWithRole, Glinda (Kristin Chenoweth)]
-
A.
Glinda the Good Witch
chosen
Glinda the Good Witch is a benevolent and powerful sorceress from L. Frank Baum’s Oz universe, best known for guiding Dorothy on her journey home.
-
B.
Princess Ozma
Princess Ozma is a fictional royal character from L. Frank Baum’s Oz book series, serving as the rightful ruler of the Land of Oz.
-
C.
Dorothy
Dorothy is a highly advanced humanoid robot central to the plot of the South Korean sci-fi film "Space Sweepers."
-
D.
Dorothy
Dorothy is a feminine given name of Greek origin, meaning "gift of God," that has been widely used in English-speaking countries.
-
E.
Dorothy Vallens
Dorothy Vallens is a troubled nightclub singer at the center of the dark, surreal mystery in David Lynch's film "Blue Velvet."
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dd7c58819095bbf4baeda04d6a |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.