Triple
T1710767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudio López |
E36977
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Claudio |
E6390
|
NE FINISHED |
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: Claudio | Statement: [Claudio López, givenName, Claudio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claudio Context triple: [Claudio López, givenName, Claudio]
-
A.
Claudio
chosen
Claudio is a masculine given name of Italian and Spanish origin, commonly used as a variant of the name Claude.
-
B.
Giulio
Giulio is the given name of Giulio Douhet, an influential early 20th-century Italian air power theorist and general.
-
C.
Giuliano
Giuliano is an Italian given name, equivalent to Julian, commonly used for males in Italian-speaking regions.
-
D.
Gaius
Gaius was a prominent 2nd-century Roman jurist whose legal writings, especially his Institutes, significantly shaped later Roman and European legal traditions.
-
E.
Antony
Antony is a suburban commune in the southern outskirts of Paris, France, known for its residential character and connection to central Paris via the RER B commuter rail line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63149288819082e7055d0d292d1d |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8addf4a48190b19cdb861db5eecd |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.