Triple
T3628628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socrates' Thinkery |
E76899
|
entity |
| Predicate | portraysAsPracticed |
P39040
|
FINISHED |
| Object | argument from the Worse Cause |
—
|
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: argument from the Worse Cause | Statement: [Socrates' Thinkery, portraysAsPracticed, argument from the Worse Cause]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysAsPracticed Context triple: [Socrates' Thinkery, portraysAsPracticed, argument from the Worse Cause]
-
A.
isPracticedBy
Indicates that an activity, skill, or discipline is regularly performed or carried out by a particular entity.
-
B.
stillPracticedIn
Indicates that a tradition, custom, or practice continues to be actively carried out or observed in a specified place or context.
-
C.
typicalPractice
Indicates that an action, behavior, or method is commonly or customarily done in a given context or by a given group.
-
D.
mentionsPractice
chosen
Indicates that one entity refers to, discusses, or brings up a particular practice in some form of communication.
-
E.
hadPractice
Indicates that an entity engaged in or participated in a practice session or rehearsal.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2df2b708190afef6925a53ec551 |
completed | March 8, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69adb8410a5881909c94818d7060b2b0 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.