Triple
T2992938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigfrid Edström |
E80998
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Edström
Edström is a Swedish surname borne by several notable figures, including athletes, politicians, and industrial leaders.
|
E317469
|
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: Edström | Statement: [Sigfrid Edström, familyName, Edström]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edström Context triple: [Sigfrid Edström, familyName, Edström]
-
A.
Bäckström
Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
-
B.
Norrström
Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
-
C.
Åström
Åström is a Swedish surname most notably associated with Karl Johan Åström, a pioneering control theorist and engineer.
-
D.
Williamsson
Williamsson is a Scandinavian patronymic surname, likely meaning "son of William" and used as a variant of the more common form Williamson.
-
E.
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.
- 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: Edström Triple: [Sigfrid Edström, familyName, Edström]
Generated description
Edström is a Swedish surname borne by several notable figures, including athletes, politicians, and industrial leaders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edström Target entity description: Edström is a Swedish surname borne by several notable figures, including athletes, politicians, and industrial leaders.
-
A.
Bäckström
Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
-
B.
Norrström
Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
-
C.
Åström
Åström is a Swedish surname most notably associated with Karl Johan Åström, a pioneering control theorist and engineer.
-
D.
Williamsson
Williamsson is a Scandinavian patronymic surname, likely meaning "son of William" and used as a variant of the more common form Williamson.
-
E.
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.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e12c5c8190af7cc20e4c48bf45 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b109061684819086777d3b871c94f8 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b1196399e881908887513a3bdf7f98 |
completed | March 11, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b119d306208190b53b059f0ff57712 |
completed | March 11, 2026, 7:29 a.m. |
Created at: March 8, 2026, 2:59 p.m.