Triple
T9623305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Hughes |
E232396
|
entity |
| Predicate | formerCoach |
P4378
|
FINISHED |
| Object |
Peter Johansson
Peter Johansson is a figure skating coach known for training elite skaters such as Emily Hughes.
|
E810207
|
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: Peter Johansson | Statement: [Emily Hughes, formerCoach, Peter Johansson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Johansson Context triple: [Emily Hughes, formerCoach, Peter Johansson]
-
A.
Olof Lagercrantz
Olof Lagercrantz was a prominent Swedish literary critic, writer, and newspaper editor known for his influential essays and biographies.
-
B.
Charles Boberg
Charles Boberg is a linguist and scholar of North American English dialects, particularly known for his work on regional variation and phonology.
-
C.
Olle Lundin
Olle Lundin is a film editor best known for his work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
D.
Johan Aberg
Johan Åberg is a Swedish songwriter and producer known for his work on international pop hits, including contributions to artists like Christina Aguilera.
-
E.
P.O. Enquist
P.O. Enquist was a renowned Swedish author and playwright known for his psychologically rich historical novels and major contributions to contemporary Scandinavian literature.
- 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: Peter Johansson Triple: [Emily Hughes, formerCoach, Peter Johansson]
Generated description
Peter Johansson is a figure skating coach known for training elite skaters such as Emily Hughes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Johansson Target entity description: Peter Johansson is a figure skating coach known for training elite skaters such as Emily Hughes.
-
A.
Olof Lagercrantz
Olof Lagercrantz was a prominent Swedish literary critic, writer, and newspaper editor known for his influential essays and biographies.
-
B.
Charles Boberg
Charles Boberg is a linguist and scholar of North American English dialects, particularly known for his work on regional variation and phonology.
-
C.
Olle Lundin
Olle Lundin is a film editor best known for his work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
D.
Johan Aberg
Johan Åberg is a Swedish songwriter and producer known for his work on international pop hits, including contributions to artists like Christina Aguilera.
-
E.
P.O. Enquist
P.O. Enquist was a renowned Swedish author and playwright known for his psychologically rich historical novels and major contributions to contemporary Scandinavian literature.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad650a4819096258665bc3f410b |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1797ab3d4819088da04fd5d00386b |
completed | April 4, 2026, 8:50 p.m. |
| NEDg | Description generation | batch_69d17a96725c8190aca4a5303952171b |
completed | April 4, 2026, 8:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17b3559548190afe2bbf7cbf8a2af |
completed | April 4, 2026, 8:57 p.m. |
Created at: March 30, 2026, 8:10 p.m.