Triple
T12244968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Brod |
E291827
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Brod
Brod is a surname most notably associated with Max Brod, the Czech-born German-language writer, composer, and friend and editor of Franz Kafka.
|
E972485
|
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: Brod | Statement: [Max Brod, familyName, Brod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brod Context triple: [Max Brod, familyName, Brod]
-
A.
Brodhed
Brodhed is an alternative spelling of the name "Brodhead," which is typically a surname of English origin.
-
B.
Brodinski
Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
-
C.
Bor
Bor is a town in Nizhny Novgorod Oblast, Russia, located on the left bank of the Volga River opposite the city of Nizhny Novgorod and known for its industrial and river transport significance.
-
D.
Bor
Bor is a major town in South Sudan’s Jonglei State, situated on the White Nile and serving as an important regional administrative and transport hub.
-
E.
Bor
Bor is a London Underground station serving the Borough area of Southwark in central London.
- 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: Brod Triple: [Max Brod, familyName, Brod]
Generated description
Brod is a surname most notably associated with Max Brod, the Czech-born German-language writer, composer, and friend and editor of Franz Kafka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brod Target entity description: Brod is a surname most notably associated with Max Brod, the Czech-born German-language writer, composer, and friend and editor of Franz Kafka.
-
A.
Brodhed
Brodhed is an alternative spelling of the name "Brodhead," which is typically a surname of English origin.
-
B.
Brodinski
Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
-
C.
Bor
Bor is a major town in South Sudan’s Jonglei State, situated on the White Nile and serving as an important regional administrative and transport hub.
-
D.
Bor
Bor is a town in Nizhny Novgorod Oblast, Russia, located on the left bank of the Volga River opposite the city of Nizhny Novgorod and known for its industrial and river transport significance.
-
E.
Bor
Bor is a London Underground station serving the Borough area of Southwark in central London.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb893a08190bbdfcb23082b8f34 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab7b9308190b621b71d75aa10cc |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60c6211448190af411f1b6f42c4b6 |
completed | May 2, 2026, 2:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60d1429f08190b7f3f053044f5a9e |
completed | May 2, 2026, 2:41 p.m. |
Created at: April 8, 2026, 9:51 p.m.