Triple
T20093000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Gersten |
E496321
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gersten
Gersten is a surname most notably associated with Bernard Gersten, a prominent American theatrical producer and arts administrator.
|
E1412271
|
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: Gersten | Statement: [Bernard Gersten, familyName, Gersten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gersten Context triple: [Bernard Gersten, familyName, Gersten]
-
A.
Gerstenfeld
Gerstenfeld is the original surname of American actor and comedian Brad Garrett, known for his role on the sitcom "Everybody Loves Raymond."
-
B.
Gültstein
Gültstein is a village and district (Stadtteil) of the town of Herrenberg in the state of Baden-Württemberg, Germany.
-
C.
Gerst
Gerst is a German surname most notably borne by astronaut Alexander Gerst, a European Space Agency geophysicist and former commander of the International Space Station.
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Rosenbad
Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
- 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: Gersten Triple: [Bernard Gersten, familyName, Gersten]
Generated description
Gersten is a surname most notably associated with Bernard Gersten, a prominent American theatrical producer and arts administrator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gersten Target entity description: Gersten is a surname most notably associated with Bernard Gersten, a prominent American theatrical producer and arts administrator.
-
A.
Gerstenfeld
Gerstenfeld is the original surname of American actor and comedian Brad Garrett, known for his role on the sitcom "Everybody Loves Raymond."
-
B.
Gültstein
Gültstein is a village and district (Stadtteil) of the town of Herrenberg in the state of Baden-Württemberg, Germany.
-
C.
Gerst
Gerst is a German surname most notably borne by astronaut Alexander Gerst, a European Space Agency geophysicist and former commander of the International Space Station.
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Rosenbad
Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66668db8881908c43b1deef9af1d3 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082707c7908190a3889541ea8a650b |
completed | May 16, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_6a08285238908190b7e6e53792586cc5 |
completed | May 16, 2026, 8:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08290a0574819093eae877eb2e0495 |
completed | May 16, 2026, 8:21 a.m. |
Created at: April 11, 2026, 11:22 p.m.