Triple
T1650827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Black |
E35686
|
entity |
| Predicate | hasPartnershipWith |
P1136
|
FINISHED |
| Object |
Charles Black
Charles Black is a business associate and partner of Adam Black.
|
E185794
|
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: Charles Black | Statement: [Adam Black, hasPartnershipWith, Charles Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Black Context triple: [Adam Black, hasPartnershipWith, Charles Black]
-
A.
Robert Barker
Robert Barker was a 17th-century English royal printer best known for printing the first edition of the King James Bible.
-
B.
Henry Black
Henry Black was an American legal scholar best known for compiling influential legal reports and reference works, including the Black Reports.
-
C.
James Black
James Black was a Scottish pharmacologist and Nobel laureate renowned for developing the first beta-blocker and the H2 receptor antagonist cimetidine, revolutionizing cardiovascular and ulcer treatment.
-
D.
William Grant Sherry
William Grant Sherry was an American artist and World War II veteran best known as the third husband of actress Bette Davis.
-
E.
John Blatchley
John Blatchley was a British theatre director and educator best known as a co-founder of the influential Drama Centre London acting school.
- 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: Charles Black Triple: [Adam Black, hasPartnershipWith, Charles Black]
Generated description
Charles Black is a business associate and partner of Adam Black.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charles Black Target entity description: Charles Black is a business associate and partner of Adam Black.
-
A.
Robert Barker
Robert Barker was a 17th-century English royal printer best known for printing the first edition of the King James Bible.
-
B.
Henry Black
Henry Black was an American legal scholar best known for compiling influential legal reports and reference works, including the Black Reports.
-
C.
James Black
James Black was a Scottish pharmacologist and Nobel laureate renowned for developing the first beta-blocker and the H2 receptor antagonist cimetidine, revolutionizing cardiovascular and ulcer treatment.
-
D.
William Grant Sherry
William Grant Sherry was an American artist and World War II veteran best known as the third husband of actress Bette Davis.
-
E.
John Blatchley
John Blatchley was a British theatre director and educator best known as a co-founder of the influential Drama Centre London acting school.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a67c0308190a502fd9c6c0769bc |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a996508190bc227400cb7713ac |
completed | March 8, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69ad61323b308190b883c4bf2c3ca1bf |
completed | March 8, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad622d695481909351a9c80f8d646f |
completed | March 8, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:29 p.m.