Triple
T20719073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Shenkman |
E509260
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Shenkman
Shenkman is a surname most notably associated with American actor Ben Shenkman, known for his work in film, television, and theater.
|
E1447682
|
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: Shenkman | Statement: [Ben Shenkman, familyName, Shenkman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shenkman Context triple: [Ben Shenkman, familyName, Shenkman]
-
A.
Kraushaar
Kraushaar is a surname most notably associated with Raoul Kraushaar, an American film and television composer active in the mid-20th century.
-
B.
Saltykoff
Saltykoff is a variant spelling of the Russian noble family name Saltykov, historically associated with an influential aristocratic lineage in Russia.
-
C.
Menzel
Menzel is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
-
D.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
-
E.
Schafer
Schafer is a surname of German origin borne by various notable individuals across fields such as entertainment, sports, and academia.
- 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: Shenkman Triple: [Ben Shenkman, familyName, Shenkman]
Generated description
Shenkman is a surname most notably associated with American actor Ben Shenkman, known for his work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shenkman Target entity description: Shenkman is a surname most notably associated with American actor Ben Shenkman, known for his work in film, television, and theater.
-
A.
Kraushaar
Kraushaar is a surname most notably associated with Raoul Kraushaar, an American film and television composer active in the mid-20th century.
-
B.
Saltykoff
Saltykoff is a variant spelling of the Russian noble family name Saltykov, historically associated with an influential aristocratic lineage in Russia.
-
C.
Menzel
Menzel is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
-
D.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
-
E.
Schafer
Schafer is a surname of German origin borne by various notable individuals across fields such as entertainment, sports, and academia.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d39bec8190b3642b0d6d833375 |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e0552fe88190aa5557fa83b7ed40 |
completed | May 16, 2026, 9:23 p.m. |
| NEDg | Description generation | batch_6a08e4808ac881908d527d462833ba84 |
completed | May 16, 2026, 9:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e4eccb0881908e536964d86650d1 |
completed | May 16, 2026, 9:43 p.m. |
Created at: April 16, 2026, 12:26 p.m.