Triple
T17071588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heinrich Rickert |
E414233
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Rickert
Rickert is a German surname most notably borne by Heinrich Rickert, a prominent neo-Kantian philosopher associated with the Baden school.
|
E1249464
|
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: Rickert | Statement: [Heinrich Rickert, familyName, Rickert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rickert Context triple: [Heinrich Rickert, familyName, Rickert]
-
A.
Rick Rickertsen
Rick Rickertsen is a film producer best known for his work on the dark comedy-drama movie "Hesher."
-
B.
Rorick
Rorick is a surname most notably associated with American author Isabel Scott Rorick, known for her humorous "Mr. and Mrs. Cugat" stories.
-
C.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
-
D.
Ruehl
Ruehl is a surname most notably associated with Mercedes Ruehl, the American actress known for her acclaimed work in film, television, and theater.
-
E.
Rolph
Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
- 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: Rickert Triple: [Heinrich Rickert, familyName, Rickert]
Generated description
Rickert is a German surname most notably borne by Heinrich Rickert, a prominent neo-Kantian philosopher associated with the Baden school.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rickert Target entity description: Rickert is a German surname most notably borne by Heinrich Rickert, a prominent neo-Kantian philosopher associated with the Baden school.
-
A.
Rick Rickertsen
Rick Rickertsen is a film producer best known for his work on the dark comedy-drama movie "Hesher."
-
B.
Rorick
Rorick is a surname most notably associated with American author Isabel Scott Rorick, known for her humorous "Mr. and Mrs. Cugat" stories.
-
C.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
-
D.
Ruehl
Ruehl is a surname most notably associated with Mercedes Ruehl, the American actress known for her acclaimed work in film, television, and theater.
-
E.
Rolph
Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc1b7d48190979a848b4188cb22 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012edbce988190a784448ba8a258a5 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012fe2a1b081909483baef845cc2c1 |
completed | May 11, 2026, 1:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0130c2ad9881909d8a8b64ebb59aa6 |
completed | May 11, 2026, 1:28 a.m. |
Created at: April 10, 2026, 5:34 a.m.