Triple
T14481032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ficino's Latin translation of Plato |
E359100
|
entity |
| Predicate | includesDialogue |
P56446
|
FINISHED |
| Object | Laws |
E36435
|
NE 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: Laws | Statement: [Ficino's Latin translation of Plato, includesDialogue, Laws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laws Context triple: [Ficino's Latin translation of Plato, includesDialogue, Laws]
-
A.
Laws
chosen
Laws is one of Plato’s late philosophical dialogues, presenting a detailed exploration of legal theory, political organization, and the ideal constitution for a well-ordered city.
-
B.
Ley
Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
-
C.
LAW
LAW is the IATA airport code for Lawton–Fort Sill Regional Airport in Lawton, Oklahoma, United States.
-
D.
The Law
The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
-
E.
Law
Law is the system of rules and principles recognized by a community or government as regulating the actions of its members and enforceable by legal institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a41a8c819081a3eaabbe66577a |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.