Triple
T29103168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plotinus' circle in Rome |
E736690
|
entity |
| Predicate | hasTextualOutcome |
P182756
|
FINISHED |
| Object | Enneads |
—
|
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: Enneads | Statement: [Plotinus' circle in Rome, hasTextualOutcome, Enneads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTextualOutcome Context triple: [Plotinus' circle in Rome, hasTextualOutcome, Enneads]
-
A.
hasOutcomeClass
Indicates that something is associated with a particular category or type of outcome.
-
B.
hasNarrativeOutcome
Indicates that an event, action, or narrative element leads to or results in a particular story-related consequence or resolution.
-
C.
hasOutcomeIndicator
Indicates that something is associated with a specific measure or indicator used to evaluate its outcome or results.
-
D.
hasTextualCharacter
Indicates that something possesses or exhibits the qualities of written or printed text, such as letters, symbols, or characters.
-
E.
hasEventOutcome
Indicates that a particular event results in, leads to, or is associated with a specific outcome.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f7908ec35881909a42f954fb9fa16e |
completed | May 3, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78fd3fd888190b7db0b563f298585 |
completed | May 3, 2026, 6:11 p.m. |
Created at: April 28, 2026, 11:13 a.m.