Triple
T14079642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Peyton |
E338831
|
entity |
| Predicate | colleague |
P398
|
FINISHED |
| Object |
Thor Lundgren
Thor Lundgren is a character on the medical drama series "Nurse Jackie," working alongside Jackie Peyton at All Saints Hospital.
|
E1077028
|
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: Thor Lundgren | Statement: [Jackie Peyton, colleague, Thor Lundgren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thor Lundgren Context triple: [Jackie Peyton, colleague, Thor Lundgren]
-
A.
Bo Lundgren
Bo Lundgren is a Swedish politician and former leader of the Moderate Party who also served as Sweden’s Minister for Fiscal and Financial Affairs.
-
B.
Kim Lundgren
Kim Lundgren is an entrepreneur best known as one of the founders behind the German airline Air Berlin.
-
C.
Dolph Lundgren
Dolph Lundgren is a Swedish actor, director, and martial artist best known for his tough-guy roles in action films such as "Rocky IV" and "The Expendables" series.
-
D.
George Englund
George Englund was an American film editor, director, and producer known for works like "The Ugly American" and for his long marriage to actress Cloris Leachman.
-
E.
Tomas Brolin
Tomas Brolin is a former Swedish forward best known for starring for Sweden’s national team in the early 1990s and enjoying a successful club career in Serie A with Parma.
- 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: Thor Lundgren Triple: [Jackie Peyton, colleague, Thor Lundgren]
Generated description
Thor Lundgren is a character on the medical drama series "Nurse Jackie," working alongside Jackie Peyton at All Saints Hospital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thor Lundgren Target entity description: Thor Lundgren is a character on the medical drama series "Nurse Jackie," working alongside Jackie Peyton at All Saints Hospital.
-
A.
Bo Lundgren
Bo Lundgren is a Swedish politician and former leader of the Moderate Party who also served as Sweden’s Minister for Fiscal and Financial Affairs.
-
B.
Kim Lundgren
Kim Lundgren is an entrepreneur best known as one of the founders behind the German airline Air Berlin.
-
C.
Dolph Lundgren
Dolph Lundgren is a Swedish actor, director, and martial artist best known for his tough-guy roles in action films such as "Rocky IV" and "The Expendables" series.
-
D.
George Englund
George Englund was an American film editor, director, and producer known for works like "The Ugly American" and for his long marriage to actress Cloris Leachman.
-
E.
Tomas Brolin
Tomas Brolin is a former Swedish forward best known for starring for Sweden’s national team in the early 1990s and enjoying a successful club career in Serie A with Parma.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb672c08081908e1ff9030745776a |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc1208a1481908b9f9a49b9c5ca5b |
completed | May 7, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc19f735c8190a4e765f34abaa672 |
completed | May 7, 2026, 4:45 p.m. |
Created at: April 9, 2026, 10:21 p.m.