Triple
T3599534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Nash |
E76221
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Stephen John Nash
Stephen John Nash is a Canadian former professional basketball player and two-time NBA Most Valuable Player widely regarded as one of the greatest point guards in NBA history.
|
E371229
|
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: Stephen John Nash | Statement: [Steve Nash, fullName, Stephen John Nash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen John Nash Context triple: [Steve Nash, fullName, Stephen John Nash]
-
A.
Brian Nash
Brian Nash is an English guitarist best known as a member of the 1980s pop band Frankie Goes to Hollywood.
-
B.
Brian Nash
Brian Nash is an author known for his work on the book "Relax."
-
C.
Nigel Powers
Nigel Powers is a character in the Austin Powers film series, portrayed as Austin Powers' brash, no-nonsense father with a military background and a sharp sense of humor.
-
D.
Nigel Sinclair
Nigel Sinclair is a British film producer known for his work on acclaimed documentaries and feature films, including collaborations on major music and historical projects.
-
E.
Steve Pugh
Steve Pugh is a British comic book artist best known for his work on titles such as Animal Man, Preacher, and Hotwire.
- 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: Stephen John Nash Triple: [Steve Nash, fullName, Stephen John Nash]
Generated description
Stephen John Nash is a Canadian former professional basketball player and two-time NBA Most Valuable Player widely regarded as one of the greatest point guards in NBA history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen John Nash Target entity description: Stephen John Nash is a Canadian former professional basketball player and two-time NBA Most Valuable Player widely regarded as one of the greatest point guards in NBA history.
-
A.
Brian Nash
Brian Nash is an English guitarist best known as a member of the 1980s pop band Frankie Goes to Hollywood.
-
B.
Brian Nash
Brian Nash is an author known for his work on the book "Relax."
-
C.
Nigel Powers
Nigel Powers is a character in the Austin Powers film series, portrayed as Austin Powers' brash, no-nonsense father with a military background and a sharp sense of humor.
-
D.
Nigel Sinclair
Nigel Sinclair is a British film producer known for his work on acclaimed documentaries and feature films, including collaborations on major music and historical projects.
-
E.
Steve Pugh
Steve Pugh is a British comic book artist best known for his work on titles such as Animal Man, Preacher, and Hotwire.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19fd57481908ce5c9daf168e213 |
completed | March 8, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4031a41d08190b8e87c452601a625 |
completed | March 13, 2026, 12:29 p.m. |
| NEDg | Description generation | batch_69b406fd33e08190a6f06eddec8516e9 |
completed | March 13, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b408778220819086935bfa9c0dd4fd |
completed | March 13, 2026, 12:52 p.m. |
Created at: March 8, 2026, 3:22 p.m.