Triple
T274163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black |
E5209
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Robert Black
Robert Black is a relatively common personal name shared by multiple notable individuals across fields such as music, literature, and law.
|
E36667
|
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: Robert Black | Statement: [Black, hasNotableBearer, Robert Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Black Context triple: [Black, hasNotableBearer, Robert Black]
-
A.
Jay Blackton
Jay Blackton was an American conductor and musical director best known for his work on classic Broadway and film musicals in the mid-20th century.
-
B.
Allan Black
Allan Black is a notable individual distinguished enough in his field or public life to be specifically recognized by the surname Black.
-
C.
Clarkson Potter
Clarkson Potter is a prominent American publishing imprint known for its high-quality cookbooks, lifestyle, and design titles.
-
D.
Cyril Proudbottom
Cyril Proudbottom is a comical, carefree horse character from Disney’s animated adaptation of "The Wind in the Willows" segment in *The Adventures of Ichabod and Mr. Toad*.
-
E.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
- 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: Robert Black Triple: [Black, hasNotableBearer, Robert Black]
Generated description
Robert Black is a relatively common personal name shared by multiple notable individuals across fields such as music, literature, and law.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Black Target entity description: Robert Black is a relatively common personal name shared by multiple notable individuals across fields such as music, literature, and law.
-
A.
Jay Blackton
Jay Blackton was an American conductor and musical director best known for his work on classic Broadway and film musicals in the mid-20th century.
-
B.
Allan Black
Allan Black is a notable individual distinguished enough in his field or public life to be specifically recognized by the surname Black.
-
C.
Clarkson Potter
Clarkson Potter is a prominent American publishing imprint known for its high-quality cookbooks, lifestyle, and design titles.
-
D.
Cyril Proudbottom
Cyril Proudbottom is a comical, carefree horse character from Disney’s animated adaptation of "The Wind in the Willows" segment in *The Adventures of Ichabod and Mr. Toad*.
-
E.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dd0a99c819089968a5400c58c5f |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a399a419f88190aaab166719b0bb84 |
completed | March 1, 2026, 1:43 a.m. |
| NEDg | Description generation | batch_69a39a07cbac819089946ac5480b3999 |
completed | March 1, 2026, 1:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a39a921e2c8190b1bfdb3877f265aa |
completed | March 1, 2026, 1:46 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.