Triple
T10063145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leon Henkin |
E213035
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Henkin
Henkin is a surname most notably associated with Leon Henkin, an influential logician known for his work in the foundations of mathematics and completeness in first-order logic.
|
E839552
|
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: Henkin | Statement: [Leon Henkin, familyName, Henkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henkin Context triple: [Leon Henkin, familyName, Henkin]
-
A.
Hasskyn
Hasskyn is a fictional planet in the Star Wars universe known primarily as the birthplace of Resistance spy Vi Moradi.
-
B.
Hœdic
Hœdic is a small French island in the Atlantic Ocean off the coast of Brittany, known for its unspoiled natural landscapes and traditional fishing village.
-
C.
Halikko
Halikko was a former municipality in Southwest Finland that later became part of the city of Salo.
-
D.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
E.
Harku
Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
- 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: Henkin Triple: [Leon Henkin, familyName, Henkin]
Generated description
Henkin is a surname most notably associated with Leon Henkin, an influential logician known for his work in the foundations of mathematics and completeness in first-order logic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henkin Target entity description: Henkin is a surname most notably associated with Leon Henkin, an influential logician known for his work in the foundations of mathematics and completeness in first-order logic.
-
A.
Hasskyn
Hasskyn is a fictional planet in the Star Wars universe known primarily as the birthplace of Resistance spy Vi Moradi.
-
B.
Hœdic
Hœdic is a small French island in the Atlantic Ocean off the coast of Brittany, known for its unspoiled natural landscapes and traditional fishing village.
-
C.
Halikko
Halikko was a former municipality in Southwest Finland that later became part of the city of Salo.
-
D.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
E.
Harku
Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd4e4ac8190a37061b4082caa48 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a7bd56c8190a6c43df26db880f4 |
completed | April 5, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_69d29b75634c819088c8ef750b1691d2 |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29f5007f88190b0330d1a8c551905 |
completed | April 5, 2026, 5:43 p.m. |
Created at: March 30, 2026, 8:58 p.m.