Triple
T5009086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiresias |
E112569
|
entity |
| Predicate | appearsInWork |
P795
|
FINISHED |
| Object | Dante’s Inferno |
E105627
|
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’s Inferno | Statement: [Tiresias, appearsInWork, Dante’s Inferno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dante’s Inferno Context triple: [Tiresias, appearsInWork, Dante’s Inferno]
-
A.
The Inferno
The Inferno is the passionate and raucous student section that supports the Arizona State Sun Devils football team at their home games.
-
B.
Divine Comedy
The Divine Comedy is an epic Italian poem by Dante Alighieri that narrates a visionary journey through Hell, Purgatory, and Paradise and stands as one of the foundational works of Western literature.
-
C.
Inferno
chosen
Inferno is the first cantica of Dante Alighieri’s Divine Comedy, depicting the poet’s allegorical journey through the nine circles of Hell.
-
D.
Inferno
Inferno is an autobiographical novel by August Strindberg that chronicles his psychological crisis, occult obsessions, and descent into paranoia during his years in Paris.
-
E.
Inferno
Inferno is a distributed operating system developed at Bell Labs, known for its use of the Limbo programming language and its focus on portable, networked computing.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72eb05f881908d7dc3d7cd07b2ae |
completed | March 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea473a1708190aaf4a021fec472c6 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:35 p.m.