Triple
T17990834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flickering Lights |
E430364
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Torkild |
—
|
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: Torkild | Statement: [Flickering Lights, mainCharacter, Torkild]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torkild Context triple: [Flickering Lights, mainCharacter, Torkild]
-
A.
Thorkild
chosen
Thorkild is a Scandinavian masculine given name of Old Norse origin, traditionally used in Denmark and Norway.
-
B.
Torbjørn
Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
-
C.
Eirik
Eirik is a given name, primarily used in Scandinavian countries, that is a variant of the name Eric.
-
D.
Ole-Johan
Ole-Johan is the given name of Ole-Johan Dahl, a pioneering Norwegian computer scientist known for co-developing object-oriented programming.
-
E.
Kjartan
Kjartan is a masculine given name of Old Norse origin, historically used in Scandinavian countries, particularly Iceland and Norway.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29f127c81908b0c4cb3787e002c |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.