Triple
T5963698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnipeg Jets (WHA) |
E132699
|
entity |
| Predicate | captain |
P884
|
FINISHED |
| Object | Lars-Erik Sjoberg |
E570103
|
NE FINISHED |
How this triple was built (2 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: Lars-Erik Sjoberg | Statement: [Winnipeg Jets (WHA), captain, Lars-Erik Sjoberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lars-Erik Sjoberg Context triple: [Winnipeg Jets (WHA), captain, Lars-Erik Sjoberg]
-
A.
Lars-Erik Sjoberg
chosen
Lars-Erik Sjoberg was a Swedish professional ice hockey defenceman best known as a standout player and captain in North American major leagues during the 1970s, including the World Hockey Association and the NHL.
-
B.
Jörgen Persson
Jörgen Persson is a Swedish cinematographer known for his work on numerous acclaimed films, including the 1998 adaptation of Les Misérables.
-
C.
Leif Sjöberg
Leif Sjöberg was a Swedish translator and scholar known for bringing modern Arabic literature to Scandinavian readers.
-
D.
Lars Leijonborg
Lars Leijonborg is a Swedish Liberal Party politician who served as party leader and later as Minister for Higher Education and Research.
-
E.
Johan Aberg
Johan Åberg is a Swedish songwriter and producer known for his work on international pop hits, including contributions to artists like Christina Aguilera.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a00e444819087f9df62263e83dc |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141370ae48190b7da53210fd27315 |
completed | March 23, 2026, 1:33 p.m. |
Created at: March 22, 2026, 4:03 p.m.