Triple
T6484062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josef Swickard |
E146464
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Swickard
Swickard is a surname most notably associated with Josef Swickard, a German-born American character actor of the silent film era.
|
E597108
|
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: Swickard | Statement: [Josef Swickard, familyName, Swickard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swickard Context triple: [Josef Swickard, familyName, Swickard]
-
A.
Swenett
Swenett is the ancient Egyptian city known today as Aswan, a historic frontier town on the Nile near Egypt’s southern border.
-
B.
Swanberg
Swanberg is a surname most notably associated with American independent filmmaker and actor Joe Swanberg, a key figure in the mumblecore movement.
-
C.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
-
D.
Cowgill
Cowgill is a small rural settlement in the Yorkshire Dales, known for its scenic landscape and traditional stone-built houses.
-
E.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
- 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: Swickard Triple: [Josef Swickard, familyName, Swickard]
Generated description
Swickard is a surname most notably associated with Josef Swickard, a German-born American character actor of the silent film era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swickard Target entity description: Swickard is a surname most notably associated with Josef Swickard, a German-born American character actor of the silent film era.
-
A.
Swenett
Swenett is the ancient Egyptian city known today as Aswan, a historic frontier town on the Nile near Egypt’s southern border.
-
B.
Swanberg
Swanberg is a surname most notably associated with American independent filmmaker and actor Joe Swanberg, a key figure in the mumblecore movement.
-
C.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
-
D.
Cowgill
Cowgill is a small rural settlement in the Yorkshire Dales, known for its scenic landscape and traditional stone-built houses.
-
E.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6de31c81909dd99d105f5bb4c2 |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653b24670819088fa8e0d7eb6f73b |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c655c84a7c81909bb59f9db52f5d3a |
completed | March 27, 2026, 10:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c656c84ecc8190b5d0c947c27a3bb0 |
completed | March 27, 2026, 10:07 a.m. |
Created at: March 22, 2026, 4:52 p.m.