Triple
T12191969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timo Werner |
E290484
|
entity |
| Predicate | givenName |
P17
|
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: [Timo Werner, givenName, Timo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timo Context triple: [Timo Werner, givenName, 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.
Timm
Timm is the surname of Bruce Timm, an influential American artist, animator, and producer best known for co-creating the DC Animated Universe.
-
C.
Teemu
Teemu is a Finnish given name most famously associated with legendary NHL goal-scorer Teemu Selänne.
-
D.
Sven
Sven is a charismatic puffin in the animated film "Happy Feet Two," admired by other characters for his apparent ability to fly and his inspirational persona.
-
E.
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.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c54a4648190ad0f84c229534155 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a8d24508190b0a60ca76d775b1e |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.