Triple
T17284570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toribio |
E419617
|
entity |
| Predicate | hasLatinForm |
P3646
|
FINISHED |
| Object | Turibius |
E1261848
|
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: Turibius | Statement: [Toribio, hasLatinForm, Turibius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turibius Context triple: [Toribio, hasLatinForm, Turibius]
-
A.
Turibius
chosen
Turibius is a masculine given name, historically associated with several Christian saints and used as a variant of the name Toribio.
-
B.
Ubalde
Ubalde is a character in the opera "Armide," typically portrayed as a valiant knight who attempts to rescue the enchanted Renaud.
-
C.
Thurinus
Thurinus was an early cognomen of the Roman statesman Gaius Octavius, who later became the first Roman emperor Augustus.
-
D.
Famedio
Famedio is a grand memorial chapel and pantheon within Milan’s Monumental Cemetery, dedicated to honoring the city’s most illustrious citizens.
-
E.
Dionisio
Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332bd324819080795152293d6d43 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c407fe8819095b16b171f29cf1b |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 5:40 a.m.