Triple
T17796137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcela Basteri |
E444296
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Basteri |
—
|
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: Basteri | Statement: [Marcela Basteri, familyName, Basteri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basteri Context triple: [Marcela Basteri, familyName, Basteri]
-
A.
Basteri
chosen
Basteri is a Spanish-origin surname most notably associated with the family of Mexican singer Luis Miguel.
-
B.
Bottidda
Bottidda is a small municipality in the historical Logudoro region of central-northern Sardinia, Italy.
-
C.
Baldeo
Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
-
D.
Bastico
Bastico is the surname of Ettore Bastico, an Italian military officer and Marshal of Italy during World War II.
-
E.
Bacnotan
Bacnotan is a coastal municipality in the province of La Union in the Philippines, known for its cement industry and surfing beaches.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fafc2c8190b28e791267c47e3c |
completed | April 19, 2026, 7:44 a.m. |
Created at: April 10, 2026, 10:13 a.m.