Triple
T14455756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delicacy |
E358454
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Markus Lundl
Markus Lundl is a fictional protagonist featured in the work "Delicacy."
|
E1122357
|
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: Markus Lundl | Statement: [Delicacy, hasMainCharacter, Markus Lundl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markus Lundl Context triple: [Delicacy, hasMainCharacter, Markus Lundl]
-
A.
Kristian Lundin
Kristian Lundin is a Swedish songwriter and producer known for crafting late-1990s and early-2000s pop hits for artists such as Backstreet Boys, *NSYNC, and Celine Dion.
-
B.
Markus Rygaard
Markus Rygaard is a Danish actor best known for his leading role as a troubled schoolboy in the Oscar-winning film "In a Better World."
-
C.
Anton Lund
Anton Lund was a Norwegian sailor best known as a crew member on Roald Amundsen’s historic Gjøa expedition, the first successful navigation of the Northwest Passage.
-
D.
Erik Edlund
Erik Edlund was a Swedish physicist and academic who mentored future Nobel laureate Svante Arrhenius and contributed to 19th-century physical science education in Sweden.
-
E.
Lars Martinsson
Lars Martinsson is a Swedish handball coach and former player known for his contributions to Scandinavian club handball.
- 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: Markus Lundl Triple: [Delicacy, hasMainCharacter, Markus Lundl]
Generated description
Markus Lundl is a fictional protagonist featured in the work "Delicacy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Markus Lundl Target entity description: Markus Lundl is a fictional protagonist featured in the work "Delicacy."
-
A.
Kristian Lundin
Kristian Lundin is a Swedish songwriter and producer known for crafting late-1990s and early-2000s pop hits for artists such as Backstreet Boys, *NSYNC, and Celine Dion.
-
B.
Markus Rygaard
Markus Rygaard is a Danish actor best known for his leading role as a troubled schoolboy in the Oscar-winning film "In a Better World."
-
C.
Anton Lund
Anton Lund was a Norwegian sailor best known as a crew member on Roald Amundsen’s historic Gjøa expedition, the first successful navigation of the Northwest Passage.
-
D.
Erik Edlund
Erik Edlund was a Swedish physicist and academic who mentored future Nobel laureate Svante Arrhenius and contributed to 19th-century physical science education in Sweden.
-
E.
Lars Martinsson
Lars Martinsson is a Swedish handball coach and former player known for his contributions to Scandinavian club handball.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3880ee4081908e783231de226448 |
completed | May 8, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_69fe4687c6788190bf1785730ba48c87 |
completed | May 8, 2026, 8:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe47220a7481908543dc77afd2743a |
completed | May 8, 2026, 8:27 p.m. |
Created at: April 10, 2026, 1:19 a.m.