Triple
T4160861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frisch |
E91529
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
David Frisch
David Frisch is a former American football wide receiver who played in the National Football League during the 1990s.
|
E512303
|
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: David Frisch | Statement: [Frisch, hasNotableBearer, David Frisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Frisch Context triple: [Frisch, hasNotableBearer, David Frisch]
-
A.
Jeremy Furstenfeld
Jeremy Furstenfeld is the drummer of the American alternative rock band Blue October.
-
B.
David Boeddinghaus
David Boeddinghaus is a jazz pianist and composer known for his work on the soundtrack of the animated film "Crumb."
-
C.
Martin Fischer
Martin Fischer is a personal name shared by multiple individuals across various professions, such as sports, science, and the arts.
-
D.
Robert Ochsenfeld
Robert Ochsenfeld was a German physicist best known for co-discovering the Meissner effect, a fundamental phenomenon in superconductivity.
-
E.
Fredric Steinkamp
Fredric Steinkamp was an American film editor best known for his acclaimed work on major Hollywood productions, including the Oscar-winning epic "Out of Africa."
- 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: David Frisch Triple: [Frisch, hasNotableBearer, David Frisch]
Generated description
David Frisch is a former American football wide receiver who played in the National Football League during the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Frisch Target entity description: David Frisch is a former American football wide receiver who played in the National Football League during the 1990s.
-
A.
Jeremy Furstenfeld
Jeremy Furstenfeld is the drummer of the American alternative rock band Blue October.
-
B.
David Boeddinghaus
David Boeddinghaus is a jazz pianist and composer known for his work on the soundtrack of the animated film "Crumb."
-
C.
Martin Fischer
Martin Fischer is a personal name shared by multiple individuals across various professions, such as sports, science, and the arts.
-
D.
Robert Ochsenfeld
Robert Ochsenfeld was a German physicist best known for co-discovering the Meissner effect, a fundamental phenomenon in superconductivity.
-
E.
Fredric Steinkamp
Fredric Steinkamp was an American film editor best known for his acclaimed work on major Hollywood productions, including the Oscar-winning epic "Out of Africa."
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf185bce7c8190ad94ab3f848a0040 |
completed | March 21, 2026, 10:14 p.m. |
| NEDg | Description generation | batch_69bf1a2478a481908aa08e08016e493b |
completed | March 21, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1a7f9c808190a067a2e983d77008 |
completed | March 21, 2026, 10:23 p.m. |
Created at: March 9, 2026, 3:44 p.m.