Triple
T7219852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladas |
E150228
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object |
Matthew Dawson
Matthew Dawson was a prominent 19th-century British racehorse trainer renowned for preparing multiple classic-winning Thoroughbreds.
|
E649689
|
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: Matthew Dawson | Statement: [Ladas, trainedBy, Matthew Dawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Dawson Context triple: [Ladas, trainedBy, Matthew Dawson]
-
A.
Brandon Davies
Brandon Davies is an American professional basketball player known for his successful career in European leagues, particularly in the EuroLeague.
-
B.
Luke Davies
Luke Davies is an Australian poet, novelist, and screenwriter known for adapting acclaimed films such as "Lion" and "News of the World."
-
C.
Jeremy Dawson
Jeremy Dawson is a film producer best known for his work on Wes Anderson’s movies, including the acclaimed feature "The Grand Budapest Hotel."
-
D.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
E.
Anthony Dowell
Anthony Dowell is a renowned British ballet dancer and former artistic director, celebrated especially for his distinguished career with The Royal Ballet.
- 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: Matthew Dawson Triple: [Ladas, trainedBy, Matthew Dawson]
Generated description
Matthew Dawson was a prominent 19th-century British racehorse trainer renowned for preparing multiple classic-winning Thoroughbreds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Dawson Target entity description: Matthew Dawson was a prominent 19th-century British racehorse trainer renowned for preparing multiple classic-winning Thoroughbreds.
-
A.
Brandon Davies
Brandon Davies is an American professional basketball player known for his successful career in European leagues, particularly in the EuroLeague.
-
B.
Luke Davies
Luke Davies is an Australian poet, novelist, and screenwriter known for adapting acclaimed films such as "Lion" and "News of the World."
-
C.
Jeremy Dawson
Jeremy Dawson is a film producer best known for his work on Wes Anderson’s movies, including the acclaimed feature "The Grand Budapest Hotel."
-
D.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
E.
Anthony Dowell
Anthony Dowell is a renowned British ballet dancer and former artistic director, celebrated especially for his distinguished career with The Royal Ballet.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b1a7908190bd215ffb84592e32 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc014fb88190818e12b7abe90c0a |
completed | March 28, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69c7ccf3cd4c8190babc9e0e6b9f4371 |
completed | March 28, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cd5cedd88190b72df89b068c4483 |
completed | March 28, 2026, 12:45 p.m. |
Created at: March 27, 2026, 2:53 p.m.