Triple
T22378130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciro Immobile |
E553200
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ciro |
—
|
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: Ciro | Statement: [Ciro Immobile, givenName, Ciro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciro Context triple: [Ciro Immobile, givenName, Ciro]
-
A.
Ciro
chosen
Ciro is a masculine given name of Italian and Spanish origin, often used in various countries around the world.
-
B.
Tullio
Tullio is an Italian given name most famously borne by the mathematician Tullio Levi-Civita, known for his work in tensor calculus and differential geometry.
-
C.
Clodoaldo
Clodoaldo is a former Brazilian midfielder best known for his role in Brazil’s 1970 World Cup–winning team and his successful career with Santos FC.
-
D.
Cesar
Cesar is a given name and surname used in various languages, commonly associated with the historical legacy of "Caesar" and borne by numerous notable figures in politics, arts, and sports.
-
E.
Lucio
Lucio is a roguish, witty gentleman in Shakespeare’s play "Measure for Measure," known for his bawdy humor, moral hypocrisy, and role as a comic commentator on the play’s themes of justice and corruption.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158292d80819094f474c0e9e14caf |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.