Triple
T37565199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marilyn Garbanza |
E933935
|
entity |
| Predicate | hasEthicalFocusOn |
P165852
|
FINISHED |
| Object | political ethics |
—
|
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: political ethics | Statement: [Marilyn Garbanza, hasEthicalFocusOn, political ethics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthicalFocusOn Context triple: [Marilyn Garbanza, hasEthicalFocusOn, political ethics]
-
A.
hasEthicalDimension
Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
-
B.
hasEthicalBasisIn
Indicates that the ethical justification, grounding, or normative foundation of one entity is derived from, supported by, or based upon another entity.
-
C.
hasEthicalOrSocialSignificance
chosen
Indicates that something possesses importance or impact in ethical, moral, or broader social terms.
-
D.
hasEthicalStandard
Indicates that an entity adheres to, follows, or is governed by a specified set of ethical principles or standards.
-
E.
hasEthicalIdeal
Indicates that an entity upholds or is guided by a particular ethical standard, principle, or ideal.
- 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_69f76ecb4acc8190b53f96d0b013e415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:17 p.m.