Triple
T14468408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorvald Eiriksson |
E358774
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Thjodhild |
E384767
|
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: Thjodhild | Statement: [Thorvald Eiriksson, mother, Thjodhild]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thjodhild Context triple: [Thorvald Eiriksson, mother, Thjodhild]
-
A.
Thjodhild
chosen
Thjodhild was a Norse woman of the Viking Age, best known as one of the earliest Christian converts in Greenland and for building the first church there.
-
B.
Gunnhild
Gunnhild was the mother of King Sverre of Norway, a key figure in the country’s medieval royal lineage.
-
C.
Hjördis
Hjördis is a Scandinavian feminine given name, most notably borne by Swedish model and actress Hjördis Genberg.
-
D.
Móðguðr
Móðguðr is a figure in Norse mythology known as the guardian of the bridge over the river Gjöll, which leads to the realm of the dead.
-
E.
Ashildr
Ashildr is a recurring Doctor Who character, originally a Viking girl made immortal by the Doctor, whose long life profoundly shapes her complex relationship with him.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f8613c819080424104c0b7f4c3 |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649beec88190861abb52c5a2733e |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.