Triple
T20460944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Maria Lara |
E501920
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alexandra |
—
|
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: Alexandra | Statement: [Alexandra Maria Lara, givenName, Alexandra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Context triple: [Alexandra Maria Lara, givenName, Alexandra]
-
A.
Alexandra
Alexandra is a densely populated township in northern Johannesburg, South Africa, known for its vibrant culture and significant role in the country’s anti-apartheid history.
-
B.
Alexandra
chosen
Alexandra is a feminine given name of Greek origin meaning "defender of mankind," used in many cultures around the world.
-
C.
Alexandra
Alexandra is a small Central Otago town in New Zealand known for its riverside setting, fruit orchards, and historic gold-mining heritage.
-
D.
Viktoriya
Viktoriya is a feminine given name, commonly used in Slavic countries as a variant of Victoria.
-
E.
Alexis of Russia
Alexis of Russia was the second Romanov tsar of Russia, ruling from 1645 to 1676 and overseeing significant territorial expansion and internal reforms that shaped the future Russian state.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a642648190808709020f91122b |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.