Triple
T26528359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sempronio |
E670751
|
entity |
| Predicate | relationshipToPármeno |
P197226
|
FINISHED |
| Object | fellow servant |
—
|
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: fellow servant | Statement: [Sempronio, relationshipToPármeno, fellow servant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToPármeno Context triple: [Sempronio, relationshipToPármeno, fellow servant]
-
A.
relationshipToPuntila
Indicates the type or nature of a relationship that an entity has to Puntila.
-
B.
relationshipToPetra
Indicates the specific type of relationship or connection that one entity has to Petra.
-
C.
relationshipToHeracles
Indicates the specific familial or social relationship that an entity has to Heracles.
-
D.
relationshipToEva
Indicates a specified type of personal or social relationship that an entity has with Eva.
-
E.
relationshipToArichAnpin
Indicates a relational connection or association that an entity has to Arich Anpin within a given spiritual, hierarchical, or conceptual framework.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
| PDg | Predicate description generation | batch_69fe7eb31b04819081be531fd9f8a78c |
completed | May 9, 2026, 12:24 a.m. |
Created at: April 27, 2026, 1:33 a.m.