Triple
T9818886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timofei |
E238476
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Timo |
E42006
|
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: Timo | Statement: [Timofei, relatedTo, Timo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timo Context triple: [Timofei, relatedTo, Timo]
-
A.
Timo
chosen
Timo is a given name, commonly used in various European countries, that originates as a variant of the name Timothy.
-
B.
Teemu
Teemu is a Finnish given name most famously associated with legendary NHL goal-scorer Teemu Selänne.
-
C.
Sven
Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
-
D.
Tino
Tino is the commonly used nickname of former Major League Baseball first baseman Tino Martinez, best known for his years with the New York Yankees in the late 1990s and early 2000s.
-
E.
Juho
Juho is a Finnish masculine given name historically borne by several notable figures, including statesmen and cultural personalities.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f74e348190be8e4394ae6fe3fe |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc74de14819083299a549f04b2b1 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.