Triple
T14611957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teemu Selänne |
E342983
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Selänne |
E342983
|
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: Selänne | Statement: [Teemu Selänne, familyName, Selänne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selänne Context triple: [Teemu Selänne, familyName, Selänne]
-
A.
Selänne
chosen
Selänne is the surname of Teemu Selänne, a legendary Finnish ice hockey player and one of the NHL’s most prolific goal scorers.
-
B.
Selun
Selun is a prominent mountain peak in the Churfirsten range of the Swiss Alps, known for its distinctive profile and popular hiking routes.
-
C.
Sillein
Sillein is the historical German name for the Slovak city of Žilina, an important regional center in northwestern Slovakia.
-
D.
Sellem
Sellem is the sly auctioneer character in Igor Stravinsky’s opera *The Rake’s Progress*, who presides over the sale of Tom Rakewell’s possessions.
-
E.
Seille
Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91f437c8190ada4d1c3708faedd |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.