Triple
T26944675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Mirror |
E678604
|
entity |
| Predicate | tellsTruthTo |
P128398
|
FINISHED |
| Object | Evil Queen |
—
|
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: Evil Queen | Statement: [Magic Mirror, tellsTruthTo, Evil Queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tellsTruthTo Context triple: [Magic Mirror, tellsTruthTo, Evil Queen]
-
A.
speaksTruthWhen
chosen
Indicates that the subject tells the truth under the specified conditions or in relation to the referenced entity or situation.
-
B.
triesToRevealTruthTo
Indicates an attempt by one entity to make another entity aware of what it believes to be the true facts or reality of a situation.
-
C.
tells
Indicates that one entity communicates information, a message, or a story to another entity.
-
D.
liesToThe
Indicates that one entity intentionally provides false or misleading information to another entity.
-
E.
confessedTo
Indicates that one entity admitted guilt or revealed the truth about an action, wrongdoing, or secret to 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62083b4288190987cccbed3892ef9 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:20 a.m.