Triple
T16649668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindström |
E404567
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tomas Lindström
Tomas Lindström is a Swedish former professional ice hockey player known for his career as a forward in the Swedish leagues.
|
E1227880
|
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: Tomas Lindström | Statement: [Lindström, hasNotableBearer, Tomas Lindström]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomas Lindström Context triple: [Lindström, hasNotableBearer, Tomas Lindström]
-
A.
Fredrik Lindström
Fredrik Lindström is a Swedish biathlete and Olympic champion known for winning gold in the men's relay at the 2018 Winter Olympics.
-
B.
Erik Bäckström
Erik Bäckström is a notable individual who carries the Swedish surname Bäckström.
-
C.
Erik Renström
Erik Renström is a Swedish academic and professor who serves as the rector (vice-chancellor) of Lund University.
-
D.
Tomas Nilsson
Tomas Nilsson is a personal name shared by multiple individuals, most commonly found in Sweden and associated with various professionals, including athletes and academics.
-
E.
Niklas Sundström
Niklas Sundström is a Swedish former professional ice hockey forward who played in the NHL and represented Sweden internationally, known for his strong two-way play.
- 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: Tomas Lindström Triple: [Lindström, hasNotableBearer, Tomas Lindström]
Generated description
Tomas Lindström is a Swedish former professional ice hockey player known for his career as a forward in the Swedish leagues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomas Lindström Target entity description: Tomas Lindström is a Swedish former professional ice hockey player known for his career as a forward in the Swedish leagues.
-
A.
Fredrik Lindström
Fredrik Lindström is a Swedish biathlete and Olympic champion known for winning gold in the men's relay at the 2018 Winter Olympics.
-
B.
Erik Bäckström
Erik Bäckström is a notable individual who carries the Swedish surname Bäckström.
-
C.
Erik Renström
Erik Renström is a Swedish academic and professor who serves as the rector (vice-chancellor) of Lund University.
-
D.
Tomas Nilsson
Tomas Nilsson is a personal name shared by multiple individuals, most commonly found in Sweden and associated with various professionals, including athletes and academics.
-
E.
Niklas Sundström
Niklas Sundström is a Swedish former professional ice hockey forward who played in the NHL and represented Sweden internationally, known for his strong two-way play.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad85ec881909dc6a434a363dab1 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2f1da48190a1a01dbe25f8f0e9 |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008b5135788190af6cfca6cb333d26 |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008bee78248190b920d780bcbd3032 |
completed | May 10, 2026, 1:45 p.m. |
Created at: April 10, 2026, 5:18 a.m.