Triple
T9719283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Väinö Tanner |
E235420
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Tanner |
E235420
|
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: Tanner | Statement: [Väinö Tanner, hasSurname, Tanner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanner Context triple: [Väinö Tanner, hasSurname, Tanner]
-
A.
Tanner
chosen
Tanner is a surname of Finnish origin, notably borne by the politician Väinö Tanner.
-
B.
Junior Tucker
Junior Tucker is a Jamaican reggae and gospel singer known for his smooth vocals and early success as a child star in the 1970s.
-
C.
Blaze Tucker
Blaze Tucker is the daughter of reality television star and singer-songwriter Kandi Burruss and her husband Todd Tucker.
-
D.
Jake Tucker
Jake Tucker is a recurring character on the animated television series "Family Guy," known as the physically deformed son of news anchor Tom Tucker.
-
E.
Thad
Thad is the given name of Thad Matta, a prominent American college basketball coach best known for his successful tenure at Ohio State University.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e4022c4819097455f14dd9b1a77 |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f9c4ff4819098ad941438abbe3c |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:20 p.m.