Triple
T16686733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert A. Belfer |
E405480
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Belfer
Belfer is a surname most prominently associated with American businessman and philanthropist Robert A. Belfer.
|
E1227132
|
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: Belfer | Statement: [Robert A. Belfer, hasFamilyName, Belfer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belfer Context triple: [Robert A. Belfer, hasFamilyName, Belfer]
-
A.
Pfefferberg
Pfefferberg is a surname most notably associated with Poldek Pfefferberg, a Holocaust survivor who played a key role in bringing Oskar Schindler’s story to public attention.
-
B.
Forsbrook
Forsbrook is a village and civil parish in Staffordshire, England, situated near the edge of the Staffordshire Moorlands.
-
C.
Felden
Felden is a residential area on the outskirts of Hemel Hempstead in Hertfordshire, England, known for its leafy surroundings and proximity to the Chilterns.
-
D.
Alpern
Alpern is a surname most notably associated with Robert J. Alpern, an American nephrologist and academic leader in medical education and research.
-
E.
Benkheim
Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
- 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: Belfer Triple: [Robert A. Belfer, hasFamilyName, Belfer]
Generated description
Belfer is a surname most prominently associated with American businessman and philanthropist Robert A. Belfer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belfer Target entity description: Belfer is a surname most prominently associated with American businessman and philanthropist Robert A. Belfer.
-
A.
Pfefferberg
Pfefferberg is a surname most notably associated with Poldek Pfefferberg, a Holocaust survivor who played a key role in bringing Oskar Schindler’s story to public attention.
-
B.
Forsbrook
Forsbrook is a village and civil parish in Staffordshire, England, situated near the edge of the Staffordshire Moorlands.
-
C.
Felden
Felden is a residential area on the outskirts of Hemel Hempstead in Hertfordshire, England, known for its leafy surroundings and proximity to the Chilterns.
-
D.
Alpern
Alpern is a surname most notably associated with Robert J. Alpern, an American nephrologist and academic leader in medical education and research.
-
E.
Benkheim
Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea63b7081908a055036172f9683 |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a43f6a08190913ca123a2377f95 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b001c988190b0ddec3be0ed6fd0 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008b9a8b6481909df37edcecdd292c |
completed | May 10, 2026, 1:43 p.m. |
Created at: April 10, 2026, 5:19 a.m.