Triple
T12888465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence Kolb |
E308293
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Clarence Kolb |
E308293
|
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: Clarence Kolb | Statement: [Clarence Kolb, name, Clarence Kolb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarence Kolb Context triple: [Clarence Kolb, name, Clarence Kolb]
-
A.
Clarence Kolb
chosen
Clarence Kolb was an American vaudeville and film actor best known for his comic character roles in Hollywood movies of the 1930s and 1940s.
-
B.
George L. Dahl
George L. Dahl was a prominent 20th-century American architect known for shaping much of Dallas’s skyline and major civic landmarks.
-
C.
Clarence Peters
Clarence Peters is a prominent Nigerian music video director and filmmaker known for his visually innovative work with many of Africa’s biggest music artists.
-
D.
Seymour Wright
Seymour Wright was an individual significant enough in regional history or exploration that Wright Peak in New York’s Adirondack Mountains was named in his honor.
-
E.
Clarence F. Korstian
Clarence F. Korstian was an American forester and educator known for his leadership in forest management and his role in developing forestry education and research in the United States.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714581988190afc720ffd7797860 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7559f0448190a992f0770ac8227a |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 9, 2026, 5:39 p.m.