Triple
T14576162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tullio Hermil |
E342055
|
entity |
| Predicate | hasFullName |
P16
|
FINISHED |
| Object | Tullio Hermil |
E342055
|
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: Tullio Hermil | Statement: [Tullio Hermil, hasFullName, Tullio Hermil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tullio Hermil Context triple: [Tullio Hermil, hasFullName, Tullio Hermil]
-
A.
Tullio Hermil
chosen
Tullio Hermil is the conflicted, aristocratic antihero of Gabriele D’Annunzio’s novel "L’innocente," whose jealousy, narcissism, and moral decay drive the story’s psychological drama.
-
B.
Tullio Altan
Tullio Altan is an Italian cartoonist and satirical illustrator best known for his politically charged comics and the popular children’s character Pimpa.
-
C.
Luciano Emilio
Luciano Emilio is a Brazilian former professional soccer forward best known for his prolific goal-scoring with D.C. United in Major League Soccer.
-
D.
Tullio Serafin
Tullio Serafin was a renowned Italian conductor celebrated for his interpretations of the Italian opera repertoire and for mentoring many of the 20th century’s greatest opera singers.
-
E.
Tullio Gonnelli
Tullio Gonnelli was an Italian sprinter who competed in the 1936 Berlin Olympics, specializing in short-distance track events.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c57fa4819086912bdd2bda8b80 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:24 a.m.