Triple
T555901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris Johnson |
E11940
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alexander |
E5923
|
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: Alexander | Statement: [Boris Johnson, givenName, Alexander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Context triple: [Boris Johnson, givenName, Alexander]
-
A.
Alexander
chosen
Alexander is a common male given name of Greek origin, meaning "defender of men."
-
B.
Alexander the Great
Alexander the Great was a 4th-century BCE king of Macedon who created one of the largest empires in ancient history and spread Greek culture across the Near East.
-
C.
Alessandro
Alessandro is the Italian form of the given name Alexander, commonly used in Italy and among Italian-speaking communities.
-
D.
Aleksander
Aleksander is a given name, commonly used in Slavic and Scandinavian countries, that corresponds to the name Alexander.
-
E.
Martin
Martin is a minor but kind-hearted character in Ernest Hemingway's novella "The Old Man and the Sea," known for helping the old fisherman Santiago.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991dd7008190a6c1bc8bc832456d |
completed | March 1, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4fc7dea048190a5a1472825f6d747 |
completed | March 2, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:32 p.m.