Triple
T6866870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Louis Stars (NASL) |
E158422
|
entity |
| Predicate | notableCoach |
P550
|
FINISHED |
| Object |
John Sewell
John Sewell is a former English footballer and manager best known for his involvement in North American soccer, including coaching in the NASL.
|
E668380
|
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: John Sewell | Statement: [St. Louis Stars (NASL), notableCoach, John Sewell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Sewell Context triple: [St. Louis Stars (NASL), notableCoach, John Sewell]
-
A.
Conrad Sewell
Conrad Sewell is an Australian singer-songwriter known for his soulful pop vocals and collaborations on international hits.
-
B.
John Seaton
John Seaton is a fictional character from the 1978 British-American sports drama film "International Velvet."
-
C.
Douglas Seale
Douglas Seale was a British actor and voice artist known for his character roles in film, television, and animation, including work with Disney.
-
D.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
E.
John Dolman
John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
- 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: John Sewell Triple: [St. Louis Stars (NASL), notableCoach, John Sewell]
Generated description
John Sewell is a former English footballer and manager best known for his involvement in North American soccer, including coaching in the NASL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Sewell Target entity description: John Sewell is a former English footballer and manager best known for his involvement in North American soccer, including coaching in the NASL.
-
A.
Conrad Sewell
Conrad Sewell is an Australian singer-songwriter known for his soulful pop vocals and collaborations on international hits.
-
B.
John Seaton
John Seaton is a fictional character from the 1978 British-American sports drama film "International Velvet."
-
C.
Douglas Seale
Douglas Seale was a British actor and voice artist known for his character roles in film, television, and animation, including work with Disney.
-
D.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
E.
John Dolman
John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a5ef848190b6b9a11a3fbdb384 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c364d248190a5ce03fd52de91ba |
completed | March 28, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69c83e6bad30819094aeca19d5bcaa0c |
completed | March 28, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83f1e257c8190b027a15a132bc2d1 |
completed | March 28, 2026, 8:50 p.m. |
Created at: March 27, 2026, 2:21 p.m.