Triple
T2860601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Lasker |
E63309
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lasker
Lasker is a surname most famously associated with figures such as Emanuel Lasker, the long-reigning World Chess Champion, and Albert Lasker, a pioneering American advertising executive.
|
E305494
|
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: Lasker | Statement: [Albert Lasker, familyName, Lasker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lasker Context triple: [Albert Lasker, familyName, Lasker]
-
A.
Emanuel Lasker
Emanuel Lasker was a German mathematician and the second World Chess Champion, renowned for holding the title for a record 27 years from 1894 to 1921.
-
B.
Anderssen
Anderssen is a surname of likely Scandinavian or German origin, used as a variant of the more common name Anderson.
-
C.
Fritz
Fritz is an individual known primarily as the offspring of Fifi.
-
D.
Fritz
Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
-
E.
Arthur Schoenfeld
Arthur Schoenfeld was an American diplomat who served as the United States Ambassador to Hungary during the mid-20th century.
- 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: Lasker Triple: [Albert Lasker, familyName, Lasker]
Generated description
Lasker is a surname most famously associated with figures such as Emanuel Lasker, the long-reigning World Chess Champion, and Albert Lasker, a pioneering American advertising executive.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lasker Target entity description: Lasker is a surname most famously associated with figures such as Emanuel Lasker, the long-reigning World Chess Champion, and Albert Lasker, a pioneering American advertising executive.
-
A.
Emanuel Lasker
Emanuel Lasker was a German mathematician and the second World Chess Champion, renowned for holding the title for a record 27 years from 1894 to 1921.
-
B.
Anderssen
Anderssen is a surname of likely Scandinavian or German origin, used as a variant of the more common name Anderson.
-
C.
Fritz
Fritz is an individual known primarily as the offspring of Fifi.
-
D.
Fritz
Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
-
E.
Arthur Schoenfeld
Arthur Schoenfeld was an American diplomat who served as the United States Ambassador to Hungary during the mid-20th century.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf8c676c8190ab29f89d50bd09c3 |
completed | March 7, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d9b820c8190991bae0e936eed9c |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b020568f348190b9c603c21c65187d |
completed | March 10, 2026, 1:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b020da12b08190851caee1996a76eb |
completed | March 10, 2026, 1:47 p.m. |
Created at: March 6, 2026, 10:02 p.m.