Triple
T14060026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorleif Haug |
E338318
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Haug |
E940977
|
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: Haug | Statement: [Thorleif Haug, familyName, Haug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haug Context triple: [Thorleif Haug, familyName, Haug]
-
A.
Haug
chosen
Haug is a surname of Germanic origin borne by various notable individuals across different fields.
-
B.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
C.
Hestnes
Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
-
D.
Valle-Hovin
Valle-Hovin is a residential and recreational neighborhood in Oslo, Norway, known for its sports facilities and event venues.
-
E.
Hornnes
Hornnes is a village in Agder county, Norway, situated within the municipality of Evje og Hornnes in the Setesdal valley.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5686f51c81908c33143ecbaae83d |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6654850819083262f3fb981eb1a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.