Triple
T17486976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peircean semiotics |
E425800
|
entity |
| Predicate | treatsInterpretantAs |
P4529
|
FINISHED |
| Object | effect of the sign in a mind or quasi-mind |
—
|
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: effect of the sign in a mind or quasi-mind | Statement: [Peircean semiotics, treatsInterpretantAs, effect of the sign in a mind or quasi-mind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsInterpretantAs Context triple: [Peircean semiotics, treatsInterpretantAs, effect of the sign in a mind or quasi-mind]
-
A.
treatsRightAs
Indicates that one entity provides medical or therapeutic treatment to another entity who is identified as the right-hand participant in the relationship.
-
B.
interpretedAs
chosen
Indicates that something is understood, perceived, or taken to mean something else, often based on context or subjective judgment.
-
C.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
D.
treatsSyllogismAs
Indicates that one entity regards, interprets, or handles something in the manner or role of a syllogism.
-
E.
containsInterpretationOf
Indicates that one entity includes or embodies an interpretation or understanding of 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d2a5208190b25944626e779fdc |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.