Triple
T11546691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RedOctane |
E273791
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Kai Huang
Kai Huang is an entrepreneur best known as the co-founder of RedOctane, the company behind the hit video game franchise Guitar Hero.
|
E931110
|
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: Kai Huang | Statement: [RedOctane, foundedBy, Kai Huang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kai Huang Context triple: [RedOctane, foundedBy, Kai Huang]
-
A.
Kai Chen
Kai Chen is a researcher known for co-authoring influential work in natural language processing and word embeddings alongside Tomas Mikolov.
-
B.
Daniel Zhang
Daniel Zhang is a Chinese business executive best known for leading Alibaba Group through a major period of global expansion and for creating the Singles’ Day shopping festival.
-
C.
Aja Huang
Aja Huang is a Taiwanese computer scientist and DeepMind researcher best known for his work on the AlphaGo project in artificial intelligence and computer Go.
-
D.
Leslie Hong
Leslie Hong is a relative of the prolific American character actor and director James Hong.
-
E.
James Zhou
James Zhou is a Chinese businessman best known as the owner and chairman of French football club AJ Auxerre.
- 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: Kai Huang Triple: [RedOctane, foundedBy, Kai Huang]
Generated description
Kai Huang is an entrepreneur best known as the co-founder of RedOctane, the company behind the hit video game franchise Guitar Hero.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kai Huang Target entity description: Kai Huang is an entrepreneur best known as the co-founder of RedOctane, the company behind the hit video game franchise Guitar Hero.
-
A.
Kai Chen
Kai Chen is a researcher known for co-authoring influential work in natural language processing and word embeddings alongside Tomas Mikolov.
-
B.
Daniel Zhang
Daniel Zhang is a Chinese business executive best known for leading Alibaba Group through a major period of global expansion and for creating the Singles’ Day shopping festival.
-
C.
Aja Huang
Aja Huang is a Taiwanese computer scientist and DeepMind researcher best known for his work on the AlphaGo project in artificial intelligence and computer Go.
-
D.
Leslie Hong
Leslie Hong is a relative of the prolific American character actor and director James Hong.
-
E.
James Zhou
James Zhou is a Chinese businessman best known as the owner and chairman of French football club AJ Auxerre.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e3ad548190b2c88332f5d919bd |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685de2bf88190b1f59513fd47feeb |
completed | April 20, 2026, 8 p.m. |
| NEDg | Description generation | batch_69e68fd9d1b88190ba6057a52f51c961 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e69f3de9208190b65f25c3e2d6e222 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:37 p.m.