Triple
T983410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baker |
E21223
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Pekar
Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
|
E118666
|
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: Pekar | Statement: [Baker, hasVariant, Pekar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pekar Context triple: [Baker, hasVariant, Pekar]
-
A.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
B.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
C.
Kot Diji
Kot Diji is an ancient archaeological and fort site in Sindh, Pakistan, known for its pre-Harappan settlement remains and well-preserved early 19th-century fort.
-
D.
Bauta
Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
-
E.
Peperga
Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
- 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: Pekar Triple: [Baker, hasVariant, Pekar]
Generated description
Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pekar Target entity description: Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
-
A.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
B.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
C.
Kot Diji
Kot Diji is an ancient archaeological and fort site in Sindh, Pakistan, known for its pre-Harappan settlement remains and well-preserved early 19th-century fort.
-
D.
Bauta
Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
-
E.
Peperga
Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b493f5dc819090d239c2f7e083de |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a14aec48190bc620cf492a82466 |
completed | March 7, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_69ac2a9b66b48190a3c14c431fe41c1e |
completed | March 7, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac2b18ea44819086cd9ead0d8e0d01 |
completed | March 7, 2026, 1:41 p.m. |
Created at: March 1, 2026, 7:41 p.m.