Triple
T7768945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tik-Tok of Oz |
E179020
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Princess Ozma |
E31704
|
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: Princess Ozma | Statement: [Tik-Tok of Oz, featuresCharacter, Princess Ozma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Ozma Context triple: [Tik-Tok of Oz, featuresCharacter, Princess Ozma]
-
A.
Princess Ozma
chosen
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.
-
B.
Glinda the Good Witch
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.
-
C.
The Blue Fairy
The Blue Fairy is a magical, benevolent figure in the Pinocchio story who guides and protects the wooden puppet on his journey to becoming a real boy.
-
D.
Tiger Lily
Tiger Lily is the proud and brave princess of the Native tribe in the Peter Pan story, known for her loyalty to Peter and her spirited defiance of Captain Hook.
-
E.
Dorothy
Dorothy is a feminine given name of Greek origin, meaning "gift of God," that has been widely used in English-speaking countries.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e7818c8190920ea2bde6343968 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.