Triple
T5876086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maximus |
E130628
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Maxim |
E338749
|
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: Maxim | Statement: [Maximus, hasVariant, Maxim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxim Context triple: [Maximus, hasVariant, Maxim]
-
A.
Maxim
chosen
Maxim is a masculine given name of Latin origin, commonly used in Slavic and other European countries.
-
B.
Mark Francois
Mark Francois is a British Conservative politician and Member of Parliament known for his roles in defence-related ministerial posts and his prominent support for Brexit.
-
C.
Bronson
Bronson is a 2008 British biographical crime film in which Tom Hardy portrays the notoriously violent prisoner Charles Bronson.
-
D.
Bronson
Bronson is a given name most notably associated with American educator and transcendentalist philosopher Amos Bronson Alcott.
-
E.
Xandre
Xandre is a shortened, informal given name derived from Alexandre, commonly used as a nickname or variant.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0362fb6948190bdbb3f1d446d070c |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12242dc819093ccd41c9705dd72 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:57 p.m.