Triple
T26682834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Shirley |
E672659
|
entity |
| Predicate | basedStageNameOn |
P38378
|
FINISHED |
| Object | character Anne Shirley from Anne of Green Gables |
—
|
LITERAL 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: character Anne Shirley from Anne of Green Gables | Statement: [Anne Shirley, basedStageNameOn, character Anne Shirley from Anne of Green Gables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedStageNameOn Context triple: [Anne Shirley, basedStageNameOn, character Anne Shirley from Anne of Green Gables]
-
A.
usedStageNameUntil
Indicates that an entity used a particular stage name up to a specified point in time, after which it was no longer used.
-
B.
stageNameDerivedFrom
chosen
Indicates that an entity’s stage name is derived from, based on, or taken from another specified name or source.
-
C.
bearerStageName
Indicates that an entity is known or performs under a particular stage name.
-
D.
ownerStageName
Indicates that one entity is the stage name used by the owner entity.
-
E.
stageName
Indicates that one entity is the performance or professional name used by another entity.
- 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_69eecda13424819092b17942c4edf722 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 27, 2026, 3:21 a.m.