Triple
T19758824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Blanda |
E474573
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Blanda
Blanda is the surname of George Blanda, a Hall of Fame American football quarterback and placekicker known for his exceptionally long professional career.
|
E1394615
|
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: Blanda | Statement: [George Blanda, familyName, Blanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanda Context triple: [George Blanda, familyName, Blanda]
-
A.
Blandas
Blandas is a small rural commune in southern France’s Gard department, known for its scenic limestone plateau landscapes overlooking the dramatic Cirque de Navacelles.
-
B.
Bavans
Bavans is a commune in eastern France’s Bourgogne-Franche-Comté region, situated in the Doubs department within the Montbéliard area.
-
C.
Blehen
Blehen is a village in the municipality of Hannut in the province of Liège, Belgium.
-
D.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
E.
Balkhausen
Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
- 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: Blanda Triple: [George Blanda, familyName, Blanda]
Generated description
Blanda is the surname of George Blanda, a Hall of Fame American football quarterback and placekicker known for his exceptionally long professional career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blanda Target entity description: Blanda is the surname of George Blanda, a Hall of Fame American football quarterback and placekicker known for his exceptionally long professional career.
-
A.
Blandas
Blandas is a small rural commune in southern France’s Gard department, known for its scenic limestone plateau landscapes overlooking the dramatic Cirque de Navacelles.
-
B.
Bavans
Bavans is a commune in eastern France’s Bourgogne-Franche-Comté region, situated in the Doubs department within the Montbéliard area.
-
C.
Blehen
Blehen is a village in the municipality of Hannut in the province of Liège, Belgium.
-
D.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
E.
Balkhausen
Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6531d711c8190996fcf967c39c523 |
completed | April 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd69f9a481909c82253039af1ec1 |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07be1380608190b1efcd97a4bd0c15 |
completed | May 16, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bfb095b08190a23710cf78a2b923 |
completed | May 16, 2026, 12:52 a.m. |
Created at: April 10, 2026, 1:48 p.m.