Triple
T11273751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vavá |
E266877
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Neto |
E797567
|
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: Neto | Statement: [Vavá, familyName, Neto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neto Context triple: [Vavá, familyName, Neto]
-
A.
Neto
Neto is a Brazilian contemporary artist known for his large-scale, immersive installations that often use stretchy fabrics and organic forms to engage viewers’ senses.
-
B.
Neto
chosen
Neto is a common Portuguese diminutive form of the given name Ernesto.
-
C.
Nete
The Nete is a river in Belgium that flows through the Flemish region and serves as one of the main tributaries forming the Rupel River.
-
D.
Sanz
Sanz is a prominent Hasidic dynasty known for its strong emphasis on Torah scholarship, strict halachic observance, and influential rabbinic leadership originating in 19th-century Galicia.
-
E.
Rinaldi
Rinaldi is the jovial, womanizing Italian army surgeon and close friend of Frederic Henry in Ernest Hemingway’s novel "A Farewell to Arms."
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e965c9048190804ebb48f0a4817b |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f445792c8190962d94aa71f328d9 |
completed | April 19, 2026, 3:27 p.m. |
Created at: April 8, 2026, 9:31 p.m.