Triple
T17693562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziyu Wang |
E441097
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Marc Lanctot |
E441100
|
NE FINISHED |
How this triple was built (2 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: Marc Lanctot | Statement: [Ziyu Wang, coAuthorWith, Marc Lanctot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Lanctot Context triple: [Ziyu Wang, coAuthorWith, Marc Lanctot]
-
A.
Marc Lanctot
chosen
Marc Lanctot is a computer scientist and researcher in reinforcement learning and game AI, known for his contributions to deep reinforcement learning methods such as Dueling DQN.
-
B.
Gregor Fisher
Gregor Fisher is a Scottish actor best known for his comedic roles, particularly as the lead character in the television series "Rab C. Nesbitt."
-
C.
Daniel Portman
Daniel Portman is a Scottish actor best known for playing Podrick Payne in the television series Game of Thrones.
-
D.
Richard Tandy
Richard Tandy is an English keyboardist best known for his long-standing role shaping the distinctive sound of the rock band Electric Light Orchestra.
-
E.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715485d88190b9b6f347ff85d7c7 |
completed | April 19, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02301aab388190a6a44feb57468201 |
completed | May 11, 2026, 7:38 p.m. |
Created at: April 10, 2026, 10:04 a.m.