Triple
T5549247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonja Haraldsen |
E145484
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Sonja
Sonja is the Queen of Norway, married to King Harald V and known for her long-standing role in the Norwegian royal family.
|
E532728
|
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: Sonja | Statement: [Sonja Haraldsen, givenName, Sonja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonja Context triple: [Sonja Haraldsen, givenName, Sonja]
-
A.
Sonja Zat
Sonja Zat is the central protagonist of the film "Lantana," around whom the story’s emotional and narrative tensions revolve.
-
B.
Sonia
Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
-
C.
Sonia
Sonia is the given name of Sonia Gandhi, an Italian-born Indian politician and former president of the Indian National Congress.
-
D.
Sonja Harper
Sonja Harper is a teenage granddaughter in the sitcom "Mama’s Family," known for her rebellious streak and frequent clashes with her sharp-tongued grandmother, Thelma Harper.
-
E.
Sondra
Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
- 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: Sonja Triple: [Sonja Haraldsen, givenName, Sonja]
Generated description
Sonja is the Queen of Norway, married to King Harald V and known for her long-standing role in the Norwegian royal family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sonja Target entity description: Sonja is the Queen of Norway, married to King Harald V and known for her long-standing role in the Norwegian royal family.
-
A.
Sonja Zat
Sonja Zat is the central protagonist of the film "Lantana," around whom the story’s emotional and narrative tensions revolve.
-
B.
Sonia
Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
-
C.
Sonia
Sonia is the given name of Sonia Gandhi, an Italian-born Indian politician and former president of the Indian National Congress.
-
D.
Sonja Harper
Sonja Harper is a teenage granddaughter in the sitcom "Mama’s Family," known for her rebellious streak and frequent clashes with her sharp-tongued grandmother, Thelma Harper.
-
E.
Sondra
Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe143ec8190bb67d2530c92a419 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0282dd7408190ad762fca9ff5e04b |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c0400d14cc8190a9962cb43fe17d83 |
completed | March 22, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0407964d08190b5552b410c9ba915 |
completed | March 22, 2026, 7:18 p.m. |
Created at: March 22, 2026, 3:35 p.m.