Triple
T11151588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hansen |
E263797
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Willy Hansen
Willy Hansen was a Danish track cyclist best known for winning multiple medals, including Olympic bronze, in the early 20th century.
|
E909846
|
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: Willy Hansen | Statement: [Hansen, hasNotableBearer, Willy Hansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willy Hansen Context triple: [Hansen, hasNotableBearer, Willy Hansen]
-
A.
Ole Olsen
Ole Olsen was a pioneering Danish film producer and entrepreneur who played a key role in the early development of the European film industry.
-
B.
Gunnar Hansen
Gunnar Hansen was an Icelandic-American actor best known for originating the role of Leatherface in the 1974 horror classic "The Texas Chain Saw Massacre."
-
C.
Helge Petersen
Helge Petersen was a mountaineer known for making the first recorded ascent of Greenland’s highest peak, Gunnbjørn Fjeld.
-
D.
Johan Jensen
Johan Jensen was a Danish mathematician best known for his contributions to convex analysis and for formulating the inequality that bears his name.
-
E.
Terje Hansen
Terje Hansen is an academic author known for co-authoring scholarly work with prominent economist and mathematician Herbert Scarf.
- 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: Willy Hansen Triple: [Hansen, hasNotableBearer, Willy Hansen]
Generated description
Willy Hansen was a Danish track cyclist best known for winning multiple medals, including Olympic bronze, in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Willy Hansen Target entity description: Willy Hansen was a Danish track cyclist best known for winning multiple medals, including Olympic bronze, in the early 20th century.
-
A.
Ole Olsen
Ole Olsen was a pioneering Danish film producer and entrepreneur who played a key role in the early development of the European film industry.
-
B.
Gunnar Hansen
Gunnar Hansen was an Icelandic-American actor best known for originating the role of Leatherface in the 1974 horror classic "The Texas Chain Saw Massacre."
-
C.
Helge Petersen
Helge Petersen was a mountaineer known for making the first recorded ascent of Greenland’s highest peak, Gunnbjørn Fjeld.
-
D.
Johan Jensen
Johan Jensen was a Danish mathematician best known for his contributions to convex analysis and for formulating the inequality that bears his name.
-
E.
Terje Hansen
Terje Hansen is an academic author known for co-authoring scholarly work with prominent economist and mathematician Herbert Scarf.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8719e74819095413abc6c79296c |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4835928ac81909ca2addea6fc3b5f |
completed | April 19, 2026, 7:25 a.m. |
| NEDg | Description generation | batch_69e48715bd2081908774d325db2b6dd5 |
completed | April 19, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4886c0da881909105b3a45e786ce9 |
completed | April 19, 2026, 7:46 a.m. |
Created at: April 8, 2026, 9:28 p.m.