Triple
T10226772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Mussabini |
E243224
|
entity |
| Predicate | coached |
P2169
|
FINISHED |
| Object |
Harry Edward
Harry Edward was a British sprinter who became the first Black athlete to win an Olympic medal for Great Britain, earning two bronzes at the 1920 Antwerp Games.
|
E852877
|
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: Harry Edward | Statement: [Sam Mussabini, coached, Harry Edward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Edward Context triple: [Sam Mussabini, coached, Harry Edward]
-
A.
Henry O
Henry O is a Chinese-American character actor known for his roles in films such as "Romeo Must Die" and "The Last Emperor."
-
B.
Harry Berkeley James
Harry Berkeley James was a British colonial official in Hong Kong after whom the famous flamingo in the city’s Botanical Gardens was named.
-
C.
Hugh Montgomery
Hugh Montgomery is a name shared by several notable historical figures, including soldiers, politicians, and nobility from the British Isles.
-
D.
Harry Jackson
Harry Jackson was a cinematographer known for his work on classic Hollywood films, including the 1953 musical "The Band Wagon."
-
E.
Harry Jackson
Harry Jackson was an American painter and sculptor known for his Western-themed artworks and contributions to 20th-century realism.
- 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: Harry Edward Triple: [Sam Mussabini, coached, Harry Edward]
Generated description
Harry Edward was a British sprinter who became the first Black athlete to win an Olympic medal for Great Britain, earning two bronzes at the 1920 Antwerp Games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Edward Target entity description: Harry Edward was a British sprinter who became the first Black athlete to win an Olympic medal for Great Britain, earning two bronzes at the 1920 Antwerp Games.
-
A.
Henry O
Henry O is a Chinese-American character actor known for his roles in films such as "Romeo Must Die" and "The Last Emperor."
-
B.
Harry Berkeley James
Harry Berkeley James was a British colonial official in Hong Kong after whom the famous flamingo in the city’s Botanical Gardens was named.
-
C.
Hugh Montgomery
Hugh Montgomery is a name shared by several notable historical figures, including soldiers, politicians, and nobility from the British Isles.
-
D.
Harry Jackson
Harry Jackson was a cinematographer known for his work on classic Hollywood films, including the 1953 musical "The Band Wagon."
-
E.
Harry Jackson
Harry Jackson was an American painter and sculptor known for his Western-themed artworks and contributions to 20th-century realism.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fa98a48190a5caf6b6003bc14c |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f71fb4048190a36f1fe499729332 |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:17 a.m.