Triple
T12441682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hjördis Genberg |
E297286
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hjördis
Hjördis is a Scandinavian feminine given name, most notably borne by Swedish model and actress Hjördis Genberg.
|
E986540
|
NE FINISHED |
How this triple was built (4 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: Hjördis | Statement: [Hjördis Genberg, givenName, Hjördis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hjördis Context triple: [Hjördis Genberg, givenName, Hjördis]
-
A.
Thjodhild
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.
Ingvild Deila
Ingvild Deila is a Norwegian actress best known for providing the body double performance for a young Princess Leia in the film Rogue One: A Star Wars Story.
-
C.
Sigrid
Sigrid is a Norwegian pop singer-songwriter known for her powerful vocals and catchy, emotionally resonant songs, including the hit single "Strangers."
-
D.
Hnitbjörg
Hnitbjörg is the mythic mountain in Norse mythology where the giantess Gunnlöð guarded the precious mead of poetry.
-
E.
Guntrud
Guntrud was a Lombard noblewoman known primarily as the wife of King Liutprand of the Lombards in the early 8th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hjördis Triple: [Hjördis Genberg, givenName, Hjördis]
Generated description
Hjördis is a Scandinavian feminine given name, most notably borne by Swedish model and actress Hjördis Genberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hjördis Target entity description: Hjördis is a Scandinavian feminine given name, most notably borne by Swedish model and actress Hjördis Genberg.
-
A.
Thjodhild
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.
Ingvild Deila
Ingvild Deila is a Norwegian actress best known for providing the body double performance for a young Princess Leia in the film Rogue One: A Star Wars Story.
-
C.
Sigrid
Sigrid is a Norwegian pop singer-songwriter known for her powerful vocals and catchy, emotionally resonant songs, including the hit single "Strangers."
-
D.
Hnitbjörg
Hnitbjörg is the mythic mountain in Norse mythology where the giantess Gunnlöð guarded the precious mead of poetry.
-
E.
Guntrud
Guntrud was a Lombard noblewoman known primarily as the wife of King Liutprand of the Lombards in the early 8th century.
- F. None of above. chosen
Provenance (5 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8ecb6c8190a19cbf9de31cabbd |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b9d34848190b02311ada2572440 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64def9a6081908c3048f948829051 |
completed | May 2, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64ea1719c8190b91ffaab60db25ad |
completed | May 2, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:55 p.m.