Triple
T20833109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ercole amante |
E512880
|
entity |
| Predicate | includesCharacter |
P5716
|
FINISHED |
| Object | Iole |
—
|
NE NERFINISHED |
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: Iole | Statement: [Ercole amante, includesCharacter, Iole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iole Context triple: [Ercole amante, includesCharacter, Iole]
-
A.
Iole
chosen
Iole is a figure in Greek mythology, a princess of Oechalia whose relationship with Heracles ultimately leads to the jealousy of his wife Deianira and Heracles’ tragic death.
-
B.
Lazzara
Lazzara is the birth surname of acclaimed American actress and singer Bernadette Peters.
-
C.
Dardanella
Dardanella is a popular early 20th-century jazz and dance band standard, best known through Ben Selvin’s hugely successful recording.
-
D.
Piera
Piera is a municipality in the comarca of Anoia in Catalonia, Spain, known for its historic town center and surrounding agricultural landscape.
-
E.
Trisaia
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3235a7c8190a00dbd7008cf107a |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.