Triple
T22329673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thor Heyerdahl |
E551989
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Bjørn Heyerdahl |
—
|
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: Bjørn Heyerdahl | Statement: [Thor Heyerdahl, hasChild, Bjørn Heyerdahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjørn Heyerdahl Context triple: [Thor Heyerdahl, hasChild, Bjørn Heyerdahl]
-
A.
Thor Heyerdahl
Thor Heyerdahl was a Norwegian explorer and ethnographer best known for his Kon-Tiki expedition, in which he sailed a balsa wood raft across the Pacific Ocean to demonstrate the possibility of ancient transoceanic contact.
-
B.
Christopher Heyerdahl
Christopher Heyerdahl is a Canadian actor known for his intense character roles in television series such as "Hell on Wheels," "Sanctuary," and "Stargate Atlantis."
-
C.
Marianne Heyerdahl
chosen
Marianne Heyerdahl is a daughter of the famed Norwegian explorer and ethnographer Thor Heyerdahl.
-
D.
Bendix Grünlich
Bendix Grünlich is a fictional merchant character in Thomas Mann’s novel "Buddenbrooks," known for his financially motivated marriage into the Buddenbrook family.
-
E.
Johan Bryde
Johan Bryde was a Norwegian whaling pioneer and businessman associated with the early development of modern whaling operations, particularly in South Africa.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1576ab52c819087563cd778d6bc5e |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.