Triple
T18256322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Ierusalimschy |
E437230
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Roberto Ierusalimschy |
—
|
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: Roberto Ierusalimschy | Statement: [Roberto Ierusalimschy, name, Roberto Ierusalimschy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roberto Ierusalimschy Context triple: [Roberto Ierusalimschy, name, Roberto Ierusalimschy]
-
A.
Roberto Ierusalimschy
chosen
Roberto Ierusalimschy is a Brazilian computer scientist best known as the chief architect and primary designer of the Lua programming language.
-
B.
Jorge Arantes
Jorge Arantes is a Portuguese former journalist best known as the first husband of author J. K. Rowling.
-
C.
Gustavo Pizzi
Gustavo Pizzi is a Brazilian film director and screenwriter known for intimate, character-driven dramas such as "Loveling" (Benzinho).
-
D.
Ricardo Baroni
Ricardo Baroni is a character appearing in the Marx Brothers’ classic comedy film "A Night at the Opera."
-
E.
Leandro Barbieri
Leandro "Gato" Barbieri was an Argentine jazz saxophonist and composer known for his passionate, raw tone and influential work in Latin jazz and avant-garde jazz.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd85ee548190a102611fcf709ad4 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.