Triple
T9229142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Brisker |
E221769
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Brisker
Brisker is a surname most notably associated with John Brisker, an American professional basketball player who mysteriously disappeared in the 1970s.
|
E785144
|
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: Brisker | Statement: [John Brisker, familyName, Brisker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brisker Context triple: [John Brisker, familyName, Brisker]
-
A.
Brinkin
Brinkin is a coastal residential suburb in Darwin, Northern Territory, known for its proximity to Charles Darwin University and Casuarina Beach.
-
B.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
C.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
D.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
E.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
- 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: Brisker Triple: [John Brisker, familyName, Brisker]
Generated description
Brisker is a surname most notably associated with John Brisker, an American professional basketball player who mysteriously disappeared in the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brisker Target entity description: Brisker is a surname most notably associated with John Brisker, an American professional basketball player who mysteriously disappeared in the 1970s.
-
A.
Brinkin
Brinkin is a coastal residential suburb in Darwin, Northern Territory, known for its proximity to Charles Darwin University and Casuarina Beach.
-
B.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
C.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
D.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
E.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccdaa1c5b4819081dac6713053a8ae |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0666364608190b104425819ccedf1 |
completed | April 4, 2026, 1:16 a.m. |
| NEDg | Description generation | batch_69d06772c0508190883b22974ec09155 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d067cab3a4819086a464f36a8adb3a |
completed | April 4, 2026, 1:22 a.m. |
Created at: March 30, 2026, 7:29 p.m.