Triple
T9953345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1972 Winter Olympics |
E195383
|
entity |
| Predicate | notableAthlete |
P10392
|
FINISHED |
| Object |
Tord Skogman
Tord Skogman was a Swedish athlete known for competing in winter sports at the international level, including the 1972 Winter Olympics.
|
E830256
|
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: Tord Skogman | Statement: [1972 Winter Olympics, notableAthlete, Tord Skogman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tord Skogman Context triple: [1972 Winter Olympics, notableAthlete, Tord Skogman]
-
A.
Morten Skjønsberg
Morten Skjønsberg is a Norwegian former professional footballer best known as a long-serving defender for Stabæk Fotball.
-
B.
Jan P. Syse
Jan P. Syse was a Norwegian lawyer and politician who served as Prime Minister of Norway and was a prominent figure in the Conservative Party.
-
C.
Trond Berg-Nilssen
Trond Berg-Nilssen is a Norwegian television producer best known for his work on high-profile series such as the crime-comedy drama "Lilyhammer."
-
D.
Christian Hansen
Christian Hansen was a German general in the Wehrmacht during World War II who held high-level field commands on the Eastern Front.
-
E.
Niels Torp
Niels Torp is a Norwegian architect known for designing prominent public and commercial buildings in Norway and abroad.
- 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: Tord Skogman Triple: [1972 Winter Olympics, notableAthlete, Tord Skogman]
Generated description
Tord Skogman was a Swedish athlete known for competing in winter sports at the international level, including the 1972 Winter Olympics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tord Skogman Target entity description: Tord Skogman was a Swedish athlete known for competing in winter sports at the international level, including the 1972 Winter Olympics.
-
A.
Morten Skjønsberg
Morten Skjønsberg is a Norwegian former professional footballer best known as a long-serving defender for Stabæk Fotball.
-
B.
Jan P. Syse
Jan P. Syse was a Norwegian lawyer and politician who served as Prime Minister of Norway and was a prominent figure in the Conservative Party.
-
C.
Trond Berg-Nilssen
Trond Berg-Nilssen is a Norwegian television producer best known for his work on high-profile series such as the crime-comedy drama "Lilyhammer."
-
D.
Christian Hansen
Christian Hansen was a German general in the Wehrmacht during World War II who held high-level field commands on the Eastern Front.
-
E.
Niels Torp
Niels Torp is a Norwegian architect known for designing prominent public and commercial buildings in Norway and abroad.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb693918081908e9f96ef302235ad |
completed | April 2, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2293dc93881908aff4cb3640c0edf |
completed | April 5, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69d229b3b200819083aa90f64eaec9e8 |
completed | April 5, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a2d14fc8190b2493ce571811d43 |
completed | April 5, 2026, 9:23 a.m. |
Created at: March 30, 2026, 8:46 p.m.