Triple
T4757697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inferno |
E105627
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Dante |
E468410
|
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: Dante | Statement: [Inferno, mainCharacter, Dante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dante Context triple: [Inferno, mainCharacter, Dante]
-
A.
Dante
Dante is the loyal, goofy Xoloitzcuintli dog who accompanies Miguel on his journey through the Land of the Dead in Pixar’s animated film "Coco."
-
B.
Dante Alighieri
Dante Alighieri was a medieval Italian poet, writer, and philosopher best known for his epic poem "The Divine Comedy," a cornerstone of world literature and a foundational work of the Italian language.
-
C.
Dante (protagonist)
chosen
Dante (protagonist) is the fictionalized version of Dante Alighieri who journeys through Hell, Purgatory, and Heaven in the Divine Comedy, serving as the poem’s central pilgrim and narrator.
-
D.
Dante Di Loreto
Dante Di Loreto is a television and film producer best known for his work on the hit musical series "Glee" and other acclaimed projects.
-
E.
Alfieri
Alfieri is the lawyer-narrator in Arthur Miller's play "A View from the Bridge," serving as both chorus and moral commentator on the unfolding tragedy.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650ad0f88190844bfcb46b3071c2 |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d884e0481908c0214fe93348753 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:20 p.m.