Triple
T17415016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurelio De Laurentiis |
E423466
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aurelio |
—
|
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: Aurelio | Statement: [Aurelio De Laurentiis, givenName, Aurelio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurelio Context triple: [Aurelio De Laurentiis, givenName, Aurelio]
-
A.
Aurelio
chosen
Aurelio is a masculine given name of Latin origin, derived from "Aurelius" and associated with meanings related to "golden" or "gilded."
-
B.
Alejo
Alejo is a Spanish given name commonly used as a short form of Alejandro.
-
C.
Armando
Armando is a masculine given name of Spanish and Portuguese origin, commonly used in many Spanish-speaking countries.
-
D.
Eugenio
Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
-
E.
Ernesto
Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44231e29881909695a33aab1d49a2 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.