Triple
T4112480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Latin |
E90207
|
entity |
| Predicate | languageBranch |
P1967
|
FINISHED |
| Object | Italic |
E403317
|
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: Italic | Statement: [Old Latin, languageBranch, Italic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Italic Context triple: [Old Latin, languageBranch, Italic]
-
A.
Italic
chosen
Italic is a branch of the Indo-European language family that includes Latin and its descendants, such as the Romance languages.
-
B.
Old Italic script
Old Italic script is an ancient family of writing systems used on the Italian peninsula, from which the Latin alphabet ultimately evolved.
-
C.
Gothic textura
Gothic textura is a dense, angular medieval blackletter script characterized by its tightly packed vertical strokes and strong visual rhythm, widely used in Western Europe for manuscripts and early printed books.
-
D.
Avenir
Avenir is Buick’s top-tier luxury sub-brand and trim line, offering more premium materials, advanced features, and upscale styling than the brand’s standard models.
-
E.
Lato
Lato is a Polish surname most famously borne by Grzegorz Lato, a legendary Polish footballer and World Cup Golden Boot winner.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01decd808190b4e5a5f76b090b0a |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b8adc748190be7b34ff37ae3618 |
completed | March 14, 2026, 2:07 p.m. |
Created at: March 9, 2026, 3:41 p.m.