Triple
T15603734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Scheinert |
E375099
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Scheinert
Scheinert is the surname of Daniel Scheinert, an American filmmaker best known as one half of the directing duo Daniels behind films like "Everything Everywhere All at Once."
|
E1166814
|
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: Scheinert | Statement: [Daniel Scheinert, familyName, Scheinert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheinert Context triple: [Daniel Scheinert, familyName, Scheinert]
-
A.
Schein
Schein is a German surname most notably associated with the early Baroque composer Johann Hermann Schein.
-
B.
Scheel
Scheel is a German surname most notably associated with Walter Scheel, a former President of West Germany.
-
C.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
-
D.
Scheib
Scheib is a German-language surname borne by various individuals, including notable figures such as former White House Executive Chef Walter Scheib.
-
E.
Bleichert
Bleichert is a German-origin surname most notably associated with individuals such as Dwight "Bucky" Bleichert, a character in James Ellroy’s crime novel "The Black Dahlia."
- 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: Scheinert Triple: [Daniel Scheinert, familyName, Scheinert]
Generated description
Scheinert is the surname of Daniel Scheinert, an American filmmaker best known as one half of the directing duo Daniels behind films like "Everything Everywhere All at Once."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scheinert Target entity description: Scheinert is the surname of Daniel Scheinert, an American filmmaker best known as one half of the directing duo Daniels behind films like "Everything Everywhere All at Once."
-
A.
Schein
Schein is a German surname most notably associated with the early Baroque composer Johann Hermann Schein.
-
B.
Scheel
Scheel is a German surname most notably associated with Walter Scheel, a former President of West Germany.
-
C.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
-
D.
Scheib
Scheib is a German-language surname borne by various individuals, including notable figures such as former White House Executive Chef Walter Scheib.
-
E.
Bleichert
Bleichert is a German-origin surname most notably associated with individuals such as Dwight "Bucky" Bleichert, a character in James Ellroy’s crime novel "The Black Dahlia."
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e6399d88190b2c3e781667666d4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d1607c8190a42dc664abe45b32 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 4:12 a.m.