Triple
T17131931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henrik Lundqvist |
E415738
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Joel Lundqvist |
E92755
|
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: Joel Lundqvist | Statement: [Henrik Lundqvist, hasSibling, Joel Lundqvist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Lundqvist Context triple: [Henrik Lundqvist, hasSibling, Joel Lundqvist]
-
A.
Joel Lundqvist
chosen
Joel Lundqvist is a Swedish former professional ice hockey center best known for his long career with Frölunda HC and leadership roles on the Swedish national team.
-
B.
Niklas Bäckström
Niklas Bäckström is a retired Finnish professional ice hockey goaltender best known for his long NHL career with the Minnesota Wild.
-
C.
Mattias Larsson
Mattias Larsson is a Swedish songwriter and producer known for co-writing major pop hits for artists such as Selena Gomez.
-
D.
Christian Karlsson
Christian Karlsson is a Swedish songwriter and record producer best known as part of the duo Bloodshy & Avant, co-creating global pop hits including Britney Spears' "Toxic."
-
E.
Erik Bäckström
Erik Bäckström is a notable individual who carries the Swedish surname Bäckström.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02a9fbc81909d820d29417aa55c |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01414eca3c8190aeec22fab3b5e767 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.