Triple
T8298605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Berk |
E194287
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Berk |
E393562
|
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: Berk | Statement: [Lawrence Berk, familyName, Berk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berk Context triple: [Lawrence Berk, familyName, Berk]
-
A.
Berk
chosen
Berk is a Turkish surname shared by various individuals, including the notable poet İlhan Berk.
-
B.
Berkelland
Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
-
C.
Berkley
Berkley is a small rural town in Bristol County, Massachusetts, known for its quiet residential character and proximity to the Taunton River.
-
D.
Bron
Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
-
E.
Berkman
Berkman is a surname most prominently associated with former Major League Baseball All-Star Lance Berkman.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7dfa040c8190ab801b3910e39142 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68b6ad30819090d34d8e79cee634 |
completed | April 1, 2026, 6:49 p.m. |
Created at: March 30, 2026, 5:53 p.m.