Triple
T25635821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertram Cates |
E642694
|
entity |
| Predicate | trialMirrors |
P159784
|
FINISHED |
| Object | Scopes Monkey Trial |
—
|
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: Scopes Monkey Trial | Statement: [Bertram Cates, trialMirrors, Scopes Monkey Trial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trialMirrors Context triple: [Bertram Cates, trialMirrors, Scopes Monkey Trial]
-
A.
mirroredAt
Indicates that one entity is a mirror image or reflection of another entity with respect to a specified axis, plane, or point.
-
B.
mirrorType
Indicates that one entity is a specific kind or category of mirror in relation to another entity.
-
C.
mirrorsRulesOf
Indicates that one entity’s rules or governing principles are modeled after, reflect, or closely replicate those of another entity.
-
D.
mirroredBy
Indicates that one entity serves as a reflective counterpart or reversed representation of another.
-
E.
mirrorsStructureOf
Indicates that one entity’s overall organization, pattern, or arrangement closely corresponds to and reflects the structure of another entity.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa62459c81908b2cee255cb35b8d |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 21, 2026, 5:22 p.m.