Triple
T9500703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AlphaGo Zero |
E229130
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object |
John Nham
John Nham is a writer known for authoring work related to DeepMind's AlphaGo Zero artificial intelligence system.
|
E802573
|
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 Nham | Statement: [AlphaGo Zero, hasAuthor, John Nham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Nham Context triple: [AlphaGo Zero, hasAuthor, John Nham]
-
A.
Michael Peoples
Michael Peoples is a screenwriter best known for his work on the science fiction film "Enemy Mine."
-
B.
Delroy Lindo
Delroy Lindo is a British-American actor acclaimed for his powerful performances in film, television, and theater, particularly in collaborations with director Spike Lee.
-
C.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
-
D.
Christopher Henderson
Christopher Henderson is a fictional high-ranking counterterrorism operative and former mentor to Jack Bauer in the television series "24."
-
E.
James T. Reid
James T. Reid was an architect best known for designing prominent early 20th-century buildings in San Francisco, including landmark hotels.
- 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 Nham Triple: [AlphaGo Zero, hasAuthor, John Nham]
Generated description
John Nham is a writer known for authoring work related to DeepMind's AlphaGo Zero artificial intelligence system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Nham Target entity description: John Nham is a writer known for authoring work related to DeepMind's AlphaGo Zero artificial intelligence system.
-
A.
Michael Peoples
Michael Peoples is a screenwriter best known for his work on the science fiction film "Enemy Mine."
-
B.
Delroy Lindo
Delroy Lindo is a British-American actor acclaimed for his powerful performances in film, television, and theater, particularly in collaborations with director Spike Lee.
-
C.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
-
D.
Christopher Henderson
Christopher Henderson is a fictional high-ranking counterterrorism operative and former mentor to Jack Bauer in the television series "24."
-
E.
James T. Reid
James T. Reid was an architect best known for designing prominent early 20th-century buildings in San Francisco, including landmark hotels.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983c308c8190bde6858ac1ca8ea5 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d439c6881909832afcc1154bca8 |
completed | April 4, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69d12db5c20881909a7011a3d25dd2b8 |
completed | April 4, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12e4f1b9081908e73aa674d1ef0e4 |
completed | April 4, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:57 p.m.