Triple
T10415697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Markbreit |
E245508
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Markbreit
Markbreit is a surname most notably associated with Jerry Markbreit, a prominent former National Football League referee.
|
E862240
|
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: Markbreit | Statement: [Jerry Markbreit, familyName, Markbreit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markbreit Context triple: [Jerry Markbreit, familyName, Markbreit]
-
A.
Schmetzer
Schmetzer is a surname most notably associated with American soccer coach Brian Schmetzer.
-
B.
Schenn
Schenn is a surname most prominently associated with Canadian professional ice hockey players Brayden and Luke Schenn in the National Hockey League.
-
C.
Wasit
Wasit was a historically significant city in medieval Iraq that served as an important administrative and military center under various Islamic dynasties, including during the Buyid period.
-
D.
Obertor
Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
-
E.
Emrick
Emrick is the surname of Mike "Doc" Emrick, a renowned American sportscaster best known for his long career as the lead play-by-play announcer for National Hockey League broadcasts.
- 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: Markbreit Triple: [Jerry Markbreit, familyName, Markbreit]
Generated description
Markbreit is a surname most notably associated with Jerry Markbreit, a prominent former National Football League referee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Markbreit Target entity description: Markbreit is a surname most notably associated with Jerry Markbreit, a prominent former National Football League referee.
-
A.
Schmetzer
Schmetzer is a surname most notably associated with American soccer coach Brian Schmetzer.
-
B.
Schenn
Schenn is a surname most prominently associated with Canadian professional ice hockey players Brayden and Luke Schenn in the National Hockey League.
-
C.
Wasit
Wasit was a historically significant city in medieval Iraq that served as an important administrative and military center under various Islamic dynasties, including during the Buyid period.
-
D.
Obertor
Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
-
E.
Emrick
Emrick is the surname of Mike "Doc" Emrick, a renowned American sportscaster best known for his long career as the lead play-by-play announcer for National Hockey League broadcasts.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea108fec8190819423630888fa2b |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc0dd480819082edcc49a245ad4f |
completed | April 9, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69d822d6a0188190a7ee6de5aab50486 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859e40bf88190a6dc8deed3049d31 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:10 p.m.