Triple
T8286494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTC |
E193798
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Peter Chou
Peter Chou is a Taiwanese entrepreneur and technology executive best known as the co-founder and former CEO of smartphone manufacturer HTC.
|
E724197
|
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: Peter Chou | Statement: [HTC, foundedBy, Peter Chou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Chou Context triple: [HTC, foundedBy, Peter Chou]
-
A.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
B.
Johnny Chiang
Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
-
C.
Sean Chen
Sean Chen is a Taiwanese politician and technocrat who served as Premier of the Republic of China (Taiwan) in the early 2010s, known for his background in finance and economic policy.
-
D.
Michael Chan
Michael Chan is a common personal name shared by multiple individuals across fields such as politics, business, and entertainment.
-
E.
Ronald Cheng
Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
- 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: Peter Chou Triple: [HTC, foundedBy, Peter Chou]
Generated description
Peter Chou is a Taiwanese entrepreneur and technology executive best known as the co-founder and former CEO of smartphone manufacturer HTC.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Chou Target entity description: Peter Chou is a Taiwanese entrepreneur and technology executive best known as the co-founder and former CEO of smartphone manufacturer HTC.
-
A.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
B.
Johnny Chiang
Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
-
C.
Sean Chen
Sean Chen is a Taiwanese politician and technocrat who served as Premier of the Republic of China (Taiwan) in the early 2010s, known for his background in finance and economic policy.
-
D.
Michael Chan
Michael Chan is a common personal name shared by multiple individuals across fields such as politics, business, and entertainment.
-
E.
Ronald Cheng
Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad3722481908076508908d18621 |
completed | March 31, 2026, 7:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd688441908190b6b0a39dfb9d87ac |
completed | April 1, 2026, 6:48 p.m. |
| NEDg | Description generation | batch_69cd6d55196881909cf5ec925792e09f |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e2bdae08190adc51e904e85695e |
completed | April 1, 2026, 8:21 p.m. |
Created at: March 30, 2026, 5:52 p.m.