Triple
T22035714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015–16 NBA G League season |
E544200
|
entity |
| Predicate | coachOfYear |
P7573
|
FINISHED |
| Object |
Dan Craig
Dan Craig is an American basketball coach best known for his work in the NBA and G League, including a standout season that earned him top coaching honors.
|
E1516038
|
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: Dan Craig | Statement: [2015–16 NBA G League season, coachOfYear, Dan Craig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Craig Context triple: [2015–16 NBA G League season, coachOfYear, Dan Craig]
-
A.
David Craig
David Craig is a senior Royal Air Force officer who rose to become Chief of the Air Staff and later Chief of the Defence Staff of the United Kingdom.
-
B.
David Craig
David Craig was the husband of American actress, comedian, and director Nancy Walker.
-
C.
Robert Crombie
Robert Crombie is a film producer best known for his work on the action-adventure movie "Soldiers of Fortune."
-
D.
Daniel Craig
Daniel Craig is a British actor best known for his gritty, modern portrayal of James Bond in the long-running spy film franchise.
-
E.
Richard Madden
Richard Madden is a Scottish actor best known for his role as Robb Stark in the television series "Game of Thrones" and for starring in various high-profile film and TV productions.
- 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: Dan Craig Triple: [2015–16 NBA G League season, coachOfYear, Dan Craig]
Generated description
Dan Craig is an American basketball coach best known for his work in the NBA and G League, including a standout season that earned him top coaching honors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Craig Target entity description: Dan Craig is an American basketball coach best known for his work in the NBA and G League, including a standout season that earned him top coaching honors.
-
A.
David Craig
David Craig was the husband of American actress, comedian, and director Nancy Walker.
-
B.
David Craig
David Craig is a senior Royal Air Force officer who rose to become Chief of the Air Staff and later Chief of the Defence Staff of the United Kingdom.
-
C.
Robert Crombie
Robert Crombie is a film producer best known for his work on the action-adventure movie "Soldiers of Fortune."
-
D.
Daniel Craig
Daniel Craig is a British actor best known for his gritty, modern portrayal of James Bond in the long-running spy film franchise.
-
E.
Richard Madden
Richard Madden is a Scottish actor best known for his role as Robb Stark in the television series "Game of Thrones" and for starring in various high-profile film and TV productions.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f1f95c8190a324c84313cd91ee |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b6b8bdc8190ad71f7fcddb497f1 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c2705e48190aebbc7b0b6221757 |
completed | May 18, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7ce3c684819090b25ca1e7596722 |
completed | May 18, 2026, 2:43 a.m. |
Created at: April 16, 2026, 8:25 p.m.