Triple
T15301688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Created Equal |
E365803
|
entity |
| Predicate | positionOnEquality |
P64813
|
FINISHED |
| Object | criticizes pursuit of equality of outcome |
—
|
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: criticizes pursuit of equality of outcome | Statement: [Created Equal, positionOnEquality, criticizes pursuit of equality of outcome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnEquality Context triple: [Created Equal, positionOnEquality, criticizes pursuit of equality of outcome]
-
A.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
B.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
C.
positionOnIdentity
chosen
Indicates a stance, view, or opinion that an entity holds regarding identity-related issues or characteristics.
-
D.
positionOnGood
Indicates the stance or viewpoint an entity holds regarding a particular good, such as support, opposition, or neutrality.
-
E.
positionOnReason
Indicates that one entity holds a particular stance, justification, or rationale concerning another entity or issue.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0368869f8819098cf9e7801e37548 |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.