Triple
T21499167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunnar Fant |
E530432
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gunnar Fant |
—
|
NE NERFINISHED |
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: Gunnar Fant | Statement: [Gunnar Fant, name, Gunnar Fant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunnar Fant Context triple: [Gunnar Fant, name, Gunnar Fant]
-
A.
Gunnar Fant
chosen
Gunnar Fant was a pioneering Swedish speech scientist and phonetician renowned for his foundational work on the acoustic theory of speech production.
-
B.
Gunnar Gren
Gunnar Gren was a legendary Swedish footballer and playmaker, best known as part of the famed "Gre-No-Li" trio at AC Milan and for helping Sweden win Olympic gold in 1948 and reach the 1958 World Cup final.
-
C.
Gunnar Cauthery
Gunnar Cauthery is an actor best known for his role in the television series "Mars."
-
D.
Gunnar
Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
-
E.
Gunnar Staern
Gunnar Staern is a Swedish conductor known for his work with major Scandinavian orchestras and contributions to 20th-century classical and contemporary music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5a1c6481909410a1164d86a344 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.