Triple
T22506229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicola Francesco Haym |
E556394
|
entity |
| Predicate | wroteLibrettoFor |
P1360
|
FINISHED |
| Object | Flavio |
—
|
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: Flavio | Statement: [Nicola Francesco Haym, wroteLibrettoFor, Flavio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flavio Context triple: [Nicola Francesco Haym, wroteLibrettoFor, Flavio]
-
A.
Flavio
Flavio is a powerful photo-essay by Gordon Parks that documents the life of a young boy living in poverty in a Rio de Janeiro favela.
-
B.
Flavio
chosen
Flavio is an Italian masculine given name historically borne by several notable figures, including nobles and church leaders.
-
C.
Flavio Labiano
Flavio Labiano is a Spanish cinematographer known for his dynamic visual style on major action and adventure films, including Hollywood studio productions.
-
D.
Giulio
Giulio is the given name of Giulio Douhet, an influential early 20th-century Italian air power theorist and general.
-
E.
Lucio
Lucio is a Brazilian central defender renowned for his commanding presence, leadership, and success with both the Brazilian national team and top European clubs such as Bayern Munich and Inter Milan.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5cddf88190821d9c9fdee84160 |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.