Triple
T19500466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erfalasorput |
E487888
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object | Thue Christiansen |
—
|
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: Thue Christiansen | Statement: [Erfalasorput, designedBy, Thue Christiansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thue Christiansen Context triple: [Erfalasorput, designedBy, Thue Christiansen]
-
A.
Thue Christiansen
chosen
Thue Christiansen was a Greenlandic teacher, artist, and politician best known for creating Greenland’s national flag.
-
B.
Ole Christensen
Ole Christensen is a Danish mathematician known for his contributions to functional analysis and frame theory.
-
C.
Terje Hansen
Terje Hansen is an academic author known for co-authoring scholarly work with prominent economist and mathematician Herbert Scarf.
-
D.
Steen Jacobsen
Steen Jacobsen is a Danish economist and investment strategist known for his macroeconomic analysis and commentary on global financial markets.
-
E.
Reinhardt Kristensen
Reinhardt Kristensen is a Danish zoologist and invertebrate biologist known for discovering and describing several microscopic animal groups, including the phylum Micrognathozoa.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6350ce7cc819086d77bbd9cd52b53 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.