Triple
T33538621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myra Kaspbrak |
E859010
|
entity |
| Predicate | mirrorsBehaviorOf |
P177081
|
FINISHED |
| Object | Sonia Kaspbrak |
—
|
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: Sonia Kaspbrak | Statement: [Myra Kaspbrak, mirrorsBehaviorOf, Sonia Kaspbrak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mirrorsBehaviorOf Context triple: [Myra Kaspbrak, mirrorsBehaviorOf, Sonia Kaspbrak]
-
A.
mirroredBy
Indicates that one entity serves as a reflective counterpart or reversed representation of another.
-
B.
mirroredAt
Indicates that one entity is a mirror image or reflection of another entity with respect to a specified axis, plane, or point.
-
C.
logicalMirrorOf
Indicates that one entity is the logical counterpart or inverse of another, such that their logical structures correspond in a mirrored or dual manner.
-
D.
mirroredOn
Indicates that one entity is a reflective counterpart of another, such that its structure, appearance, or configuration is reversed or symmetrically aligned relative to the other.
-
E.
trialMirrors
Indicates that one trial serves as a mirror or counterpart to another trial, reflecting its conditions, structure, or outcomes for comparison or replication purposes.
- F. None of above. chosen
Provenance (4 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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85ca7c0819098069384b0d1ca6a |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:39 a.m.