Triple
T14236931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolf Henrik Lindstrøm |
E352906
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lindstrøm
Lindstrøm is a Norwegian surname most notably associated with polar explorer and cook Adolf Henrik Lindstrøm, who took part in several major Arctic and Antarctic expeditions.
|
E1088167
|
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: Lindstrøm | Statement: [Adolf Henrik Lindstrøm, familyName, Lindstrøm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindstrøm Context triple: [Adolf Henrik Lindstrøm, familyName, Lindstrøm]
-
A.
Lindström
Lindström is a Swedish surname borne by various notable individuals in fields such as the arts, sports, and politics.
-
B.
Blomstedt
Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
-
C.
Bäckström
Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
-
D.
Wikström
Wikström is the Swedish family name of Maud Adams, the actress best known for her roles in James Bond films.
-
E.
Thorkildsen
Thorkildsen is a Norwegian surname borne by various notable individuals across fields such as sports and politics.
- 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: Lindstrøm Triple: [Adolf Henrik Lindstrøm, familyName, Lindstrøm]
Generated description
Lindstrøm is a Norwegian surname most notably associated with polar explorer and cook Adolf Henrik Lindstrøm, who took part in several major Arctic and Antarctic expeditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lindstrøm Target entity description: Lindstrøm is a Norwegian surname most notably associated with polar explorer and cook Adolf Henrik Lindstrøm, who took part in several major Arctic and Antarctic expeditions.
-
A.
Lindström
Lindström is a Swedish surname borne by various notable individuals in fields such as the arts, sports, and politics.
-
B.
Blomstedt
Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
-
C.
Bäckström
Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
-
D.
Wikström
Wikström is the Swedish family name of Maud Adams, the actress best known for her roles in James Bond films.
-
E.
Thorkildsen
Thorkildsen is a Norwegian surname borne by various notable individuals across fields such as sports and politics.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62422e28819089e7115052a28c96 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281f80548190ad489c418f27e82c |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2b2363f881909e04edd850166dd5 |
completed | May 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2cf1a1248190a97644dadf1717bc |
completed | May 8, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:07 a.m.