Triple
T26211375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Cap |
E655498
|
entity |
| Predicate | finalOwnerInStory |
P121929
|
FINISHED |
| Object | Glinda the Good Witch |
—
|
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 the Good Witch | Statement: [Golden Cap, finalOwnerInStory, Glinda the Good Witch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalOwnerInStory Context triple: [Golden Cap, finalOwnerInStory, Glinda the Good Witch]
-
A.
ownerInStory
Indicates that one entity is the owner of another entity within the context or narrative of a specific story.
-
B.
ultimateOwnerOf
chosen
Indicates that one entity is the final, controlling owner of another entity, either directly or through one or more intermediate ownership layers.
-
C.
primaryUserInStory
Indicates that a particular user is the main or central user involved in the context of a given story.
-
D.
ownerOfProtagonist
Indicates that one entity is the owner, master, or possessor of the protagonist entity.
-
E.
ownedByInNarrative
Indicates that one entity is portrayed as owning or possessing another entity within the context of a specific narrative or story.
- F. None of above.
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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 26, 2026, 8:52 p.m.