Triple
T14053256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leander |
E338145
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Leandru |
E904393
|
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: Leandru | Statement: [Leander, hasCognate, Leandru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leandru Context triple: [Leander, hasCognate, Leandru]
-
A.
Leandro
chosen
Leandro is the given first name of Argentine jazz saxophonist and composer Gato Barbieri.
-
B.
Andreas
Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
-
C.
Andreas
Andreas is a village on the Isle of Man, known for its rural character and historic parish church.
-
D.
Leal
Leal is a surname most notably associated with American actress and singer Sharon Leal, known for her work in film, television, and musical theater.
-
E.
Lelio
Lelio is a surname most notably associated with Chilean film director and screenwriter Sebastián Lelio, known for works such as "A Fantastic Woman."
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8bc54c8190a12f0fc056568538 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd09b7d148190ad9a146121be01f8 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:20 p.m.