Triple
T12261154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esaias Tegnér |
E292227
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tegnér
Tegnér is a Swedish surname most famously associated with the Romantic poet and bishop Esaias Tegnér.
|
E968873
|
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: Tegnér | Statement: [Esaias Tegnér, familyName, Tegnér]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tegnér Context triple: [Esaias Tegnér, familyName, Tegnér]
-
A.
Teglutik
Teglutik is an oral liquid formulation of the drug riluzole used to slow disease progression in patients with amyotrophic lateral sclerosis (ALS).
-
B.
Teuchern
Teuchern is a small town and municipality in the German state of Saxony-Anhalt, known for its rural character and location in the historical region of southern Saxony-Anhalt.
-
C.
Retinger
Retinger is the surname of Józef Retinger, a Polish political adviser and key organizer of early European integration efforts.
-
D.
Tegid
Tegid is a figure from Welsh tradition whose name is associated with the region around Bala Lake and commemorated in local religious and cultural landmarks.
-
E.
Deiringsen
Deiringsen is a village and district within the town of Soest in North Rhine-Westphalia, Germany.
- 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: Tegnér Triple: [Esaias Tegnér, familyName, Tegnér]
Generated description
Tegnér is a Swedish surname most famously associated with the Romantic poet and bishop Esaias Tegnér.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tegnér Target entity description: Tegnér is a Swedish surname most famously associated with the Romantic poet and bishop Esaias Tegnér.
-
A.
Teglutik
Teglutik is an oral liquid formulation of the drug riluzole used to slow disease progression in patients with amyotrophic lateral sclerosis (ALS).
-
B.
Teuchern
Teuchern is a small town and municipality in the German state of Saxony-Anhalt, known for its rural character and location in the historical region of southern Saxony-Anhalt.
-
C.
Retinger
Retinger is the surname of Józef Retinger, a Polish political adviser and key organizer of early European integration efforts.
-
D.
Tegid
Tegid is a figure from Welsh tradition whose name is associated with the region around Bala Lake and commemorated in local religious and cultural landmarks.
-
E.
Deiringsen
Deiringsen is a village and district within the town of Soest in North Rhine-Westphalia, Germany.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cd964ec81908241d2b9a96d1025 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ac1b5148190838b782848e3fa36 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60bde9b0c81908df8207a8b6530af |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c99de9881909ef87b878ac346fc |
completed | May 2, 2026, 2:39 p.m. |
Created at: April 8, 2026, 9:52 p.m.