Triple
T5055480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Blackwell |
E113891
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Blackwell
Blackwell is a surname of English origin borne by numerous notable individuals across fields such as music, politics, and academia.
|
E490612
|
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: Blackwell | Statement: [Chris Blackwell, familyName, Blackwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blackwell Context triple: [Chris Blackwell, familyName, Blackwell]
-
A.
Bloomsbury
Bloomsbury is a central London district renowned for its literary heritage, academic institutions, and garden squares.
-
B.
Rowledge
Rowledge is a village on the outskirts of Farnham in Surrey, England, known for its residential character and proximity to the Surrey-Hampshire border.
-
C.
Camden House
Camden House is a teaching and administrative building that forms part of the University College Birmingham city-centre campus.
-
D.
Melbourne House
Melbourne House was a prominent London townhouse associated with British high society and political life in the late 18th and early 19th centuries.
-
E.
Van Nostrand
Van Nostrand was an American publishing company known for producing influential academic and professional works in fields such as psychology, science, and engineering.
- 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: Blackwell Triple: [Chris Blackwell, familyName, Blackwell]
Generated description
Blackwell is a surname of English origin borne by numerous notable individuals across fields such as music, politics, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blackwell Target entity description: Blackwell is a surname of English origin borne by numerous notable individuals across fields such as music, politics, and academia.
-
A.
Bloomsbury
Bloomsbury is a central London district renowned for its literary heritage, academic institutions, and garden squares.
-
B.
Rowledge
Rowledge is a village on the outskirts of Farnham in Surrey, England, known for its residential character and proximity to the Surrey-Hampshire border.
-
C.
Camden House
Camden House is a teaching and administrative building that forms part of the University College Birmingham city-centre campus.
-
D.
Melbourne House
Melbourne House was a prominent London townhouse associated with British high society and political life in the late 18th and early 19th centuries.
-
E.
Van Nostrand
Van Nostrand was an American publishing company known for producing influential academic and professional works in fields such as psychology, science, and engineering.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd744ccb888190a8a0ddd7c4d62f35 |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea489eb4c8190ad3a5480b909ef70 |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea71808cc8190934d2ce1f5b6f30b |
completed | March 21, 2026, 2:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea7c7014881909edef5562f6c8a6d |
completed | March 21, 2026, 2:14 p.m. |
Created at: March 20, 2026, 1:38 p.m.