Triple
T19573362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loehr |
E489779
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
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.
|
E1382996
|
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: Max Loehr | Statement: [Loehr, hasNotableBearer, Max Loehr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Loehr Context triple: [Loehr, hasNotableBearer, Max Loehr]
-
A.
Frank Hagen
Frank Hagen is one of the sons of Tom Hagen, the fictional consigliere to the Corleone family in Mario Puzo’s "The Godfather" universe.
-
B.
Carlos Holzwarth
Carlos Holzwarth was an art instructor and mentor known for teaching and influencing painter Armin Hansen.
-
C.
Walter Scheib
Walter Scheib was an American chef best known for serving as the White House Executive Chef for the Clinton and George W. Bush administrations.
-
D.
Arthur Hoerl
Arthur Hoerl was an American screenwriter active during the early to mid-20th century, known for his work on numerous low-budget and genre films.
-
E.
Derwin Schlecker
Derwin Schlecker is the English electronic music producer and composer better known by his stage name Gold Panda.
- 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: Max Loehr Triple: [Loehr, hasNotableBearer, Max Loehr]
Generated description
Max Loehr was a prominent German-American art historian and sinologist renowned for his influential scholarship on Chinese art, particularly ancient bronzes and painting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Max Loehr Target entity description: Max Loehr was a prominent German-American art historian and sinologist renowned for his influential scholarship on Chinese art, particularly ancient bronzes and painting.
-
A.
Frank Hagen
Frank Hagen is one of the sons of Tom Hagen, the fictional consigliere to the Corleone family in Mario Puzo’s "The Godfather" universe.
-
B.
Carlos Holzwarth
Carlos Holzwarth was an art instructor and mentor known for teaching and influencing painter Armin Hansen.
-
C.
Walter Scheib
Walter Scheib was an American chef best known for serving as the White House Executive Chef for the Clinton and George W. Bush administrations.
-
D.
Arthur Hoerl
Arthur Hoerl was an American screenwriter active during the early to mid-20th century, known for his work on numerous low-budget and genre films.
-
E.
Derwin Schlecker
Derwin Schlecker is the English electronic music producer and composer better known by his stage name Gold Panda.
- 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_6a07578dc3c08190aeddf81b69afe055 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a0758751d0c8190a5e150d5a093f51a |
completed | May 15, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0758e997bc8190a32977d1810e4aeb |
completed | May 15, 2026, 5:33 p.m. |
Created at: April 10, 2026, 1:42 p.m.