Triple
T10115657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratcliffe |
E218349
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Ratcliffe
Michael Ratcliffe is a relatively obscure individual whose primary distinguishing feature is sharing the Ratcliffe surname, with no widely documented public achievements or roles.
|
E854761
|
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: Michael Ratcliffe | Statement: [Ratcliffe, hasNotableBearer, Michael Ratcliffe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Ratcliffe Context triple: [Ratcliffe, hasNotableBearer, Michael Ratcliffe]
-
A.
Ian Roberts
Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
-
B.
Stephen Pycroft
Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
-
C.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
D.
Jonathan Roberts
Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
-
E.
Jonathan Roberts
Jonathan Roberts is a creator known for his work on the project or character "Scar."
- 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: Michael Ratcliffe Triple: [Ratcliffe, hasNotableBearer, Michael Ratcliffe]
Generated description
Michael Ratcliffe is a relatively obscure individual whose primary distinguishing feature is sharing the Ratcliffe surname, with no widely documented public achievements or roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Ratcliffe Target entity description: Michael Ratcliffe is a relatively obscure individual whose primary distinguishing feature is sharing the Ratcliffe surname, with no widely documented public achievements or roles.
-
A.
Ian Roberts
Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
-
B.
Stephen Pycroft
Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
-
C.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
D.
Jonathan Roberts
Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
-
E.
Jonathan Roberts
Jonathan Roberts is a creator known for his work on the project or character "Scar."
- 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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd161831c81908bb3c77caa7c3ce1 |
completed | April 2, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c559910819092b0eae9c05aa7dc |
completed | April 9, 2026, 3:26 a.m. |
| NEDg | Description generation | batch_69d73180d90481908f1b4768230edd36 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7326b14988190bff33dc01e690707 |
completed | April 9, 2026, 5 a.m. |
Created at: March 30, 2026, 9:04 p.m.