Triple
T11665364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Ashkin |
E277234
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ashkin
Ashkin is a surname most notably associated with Arthur Ashkin, the Nobel Prize–winning physicist who pioneered optical tweezers.
|
E939155
|
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: Ashkin | Statement: [Arthur Ashkin, familyName, Ashkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashkin Context triple: [Arthur Ashkin, familyName, Ashkin]
-
A.
Kahn-Ackermann
Kahn-Ackermann is a German surname most notably borne by the politician and diplomat Georg Kahn-Ackermann.
-
B.
Oberholtzer
Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
-
C.
Mathieson
Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
-
D.
Ackerman
Ackerman is a surname of German and Jewish origin borne by various notable individuals across fields such as politics, arts, and academia.
-
E.
Germer
Germer is a surname most notably associated with American physicist Lester Germer, known for his role in demonstrating the wave nature of electrons.
- 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: Ashkin Triple: [Arthur Ashkin, familyName, Ashkin]
Generated description
Ashkin is a surname most notably associated with Arthur Ashkin, the Nobel Prize–winning physicist who pioneered optical tweezers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ashkin Target entity description: Ashkin is a surname most notably associated with Arthur Ashkin, the Nobel Prize–winning physicist who pioneered optical tweezers.
-
A.
Kahn-Ackermann
Kahn-Ackermann is a German surname most notably borne by the politician and diplomat Georg Kahn-Ackermann.
-
B.
Oberholtzer
Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
-
C.
Mathieson
Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
-
D.
Ackerman
Ackerman is a surname of German and Jewish origin borne by various notable individuals across fields such as politics, arts, and academia.
-
E.
Germer
Germer is a surname most notably associated with American physicist Lester Germer, known for his role in demonstrating the wave nature of electrons.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a43f438081909da476294a057c38 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee88355fe08190b16b417c12e69e1a |
completed | April 26, 2026, 9:48 p.m. |
| NEDg | Description generation | batch_69eeb316ba948190a39dfc80d6245b17 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9b59f448190b97ecd05c843ce78 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.