Triple
T6923018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent Manderville |
E160232
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object |
Timrå IK
Timrå IK is a professional ice hockey club from Timrå, Sweden, best known for competing in the country’s top leagues and developing numerous elite players.
|
E628614
|
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: Timrå IK | Statement: [Kent Manderville, playedFor, Timrå IK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timrå IK Context triple: [Kent Manderville, playedFor, Timrå IK]
-
A.
Örgryte IS
Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
-
B.
Segeltorps IF
Segeltorps IF is a Swedish multi-sport club best known for its ice hockey and football teams based in the Segeltorp area of Huddinge, near Stockholm.
-
C.
Vittsjö GIK
Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
-
D.
Stattena IF
Stattena IF is a Swedish football club known for its role in developing players such as renowned coach and former international striker Pia Sundhage.
-
E.
Hokksund IL
Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
- 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: Timrå IK Triple: [Kent Manderville, playedFor, Timrå IK]
Generated description
Timrå IK is a professional ice hockey club from Timrå, Sweden, best known for competing in the country’s top leagues and developing numerous elite players.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Timrå IK Target entity description: Timrå IK is a professional ice hockey club from Timrå, Sweden, best known for competing in the country’s top leagues and developing numerous elite players.
-
A.
Örgryte IS
Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
-
B.
Segeltorps IF
Segeltorps IF is a Swedish multi-sport club best known for its ice hockey and football teams based in the Segeltorp area of Huddinge, near Stockholm.
-
C.
Vittsjö GIK
Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
-
D.
Stattena IF
Stattena IF is a Swedish football club known for its role in developing players such as renowned coach and former international striker Pia Sundhage.
-
E.
Hokksund IL
Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fd159c819092a69d1a24e22dd5 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75137dd848190b35ff72725f886ba |
completed | March 28, 2026, 3:55 a.m. |
| NEDg | Description generation | batch_69c751ebf4f48190bb206dd9c1d8bc7b |
completed | March 28, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75264e65081908859551feaf1006c |
completed | March 28, 2026, 4 a.m. |
Created at: March 27, 2026, 2:26 p.m.