Triple
T19573364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loehr |
E489779
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
George Loehr
George Loehr is a notable individual recognized for his association with the surname Loehr.
|
E1385041
|
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: George Loehr | Statement: [Loehr, hasNotableBearer, George Loehr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Loehr Context triple: [Loehr, hasNotableBearer, George Loehr]
-
A.
Max Loehr
Max Loehr was a prominent German-American art historian and sinologist renowned for his influential scholarship on Chinese art, particularly ancient bronzes and painting.
-
B.
Heinz Alleman
Heinz Alleman is a mountaineer known for making the first recorded ascent of Mount Deborah in the Alaska Range.
-
C.
Oscar Neebe
Oscar Neebe was an American labor activist and anarchist who was controversially convicted in connection with the 1886 Haymarket affair in Chicago.
-
D.
Louis Paul Zocher
Louis Paul Zocher was a 19th-century Dutch landscape architect known for designing prominent parks and gardens in the English landscape style.
-
E.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
- 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: George Loehr Triple: [Loehr, hasNotableBearer, George Loehr]
Generated description
George Loehr is a notable individual recognized for his association with the surname Loehr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Loehr Target entity description: George Loehr is a notable individual recognized for his association with the surname Loehr.
-
A.
Max Loehr
Max Loehr was a prominent German-American art historian and sinologist renowned for his influential scholarship on Chinese art, particularly ancient bronzes and painting.
-
B.
Heinz Alleman
Heinz Alleman is a mountaineer known for making the first recorded ascent of Mount Deborah in the Alaska Range.
-
C.
Oscar Neebe
Oscar Neebe was an American labor activist and anarchist who was controversially convicted in connection with the 1886 Haymarket affair in Chicago.
-
D.
Louis Paul Zocher
Louis Paul Zocher was a 19th-century Dutch landscape architect known for designing prominent parks and gardens in the English landscape style.
-
E.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402228488190b5649d4bbd34d019 |
completed | April 20, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f0b1ce08190bdaf79f017fea675 |
completed | May 15, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a075f8c106481908e6fd7631ae69842 |
completed | May 15, 2026, 6:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a076070784c81908d28306344363c53 |
completed | May 15, 2026, 6:05 p.m. |
Created at: April 10, 2026, 1:42 p.m.