Triple
T21570307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playdom |
E532264
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Peter Liu
Peter Liu is an entrepreneur best known as a co-founder of the social gaming company Playdom.
|
E1495748
|
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 Liu | Statement: [Playdom, foundedBy, Peter Liu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Liu Context triple: [Playdom, foundedBy, Peter Liu]
-
A.
Peter J. Liu
Peter J. Liu is a machine learning researcher known for his work on large-scale neural language models and contributions to sequence-to-sequence architectures such as T5.
-
B.
Peter Wang
Peter Wang was a Taiwanese-American actor and filmmaker best known for his role in the influential Asian American independent film "Chan Is Missing."
-
C.
William Li
William Li is a Chinese entrepreneur best known as the founder and CEO of the electric vehicle company NIO.
-
D.
Sam Liu
Sam Liu is an American animation director best known for his extensive work on DC Comics animated films and television series.
-
E.
Michael Li
Michael Li is an entrepreneur best known as a co-founder of Playdom, a social gaming company that became a major developer of games for social networks.
- 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 Liu Triple: [Playdom, foundedBy, Peter Liu]
Generated description
Peter Liu is an entrepreneur best known as a co-founder of the social gaming company Playdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Liu Target entity description: Peter Liu is an entrepreneur best known as a co-founder of the social gaming company Playdom.
-
A.
Peter J. Liu
Peter J. Liu is a machine learning researcher known for his work on large-scale neural language models and contributions to sequence-to-sequence architectures such as T5.
-
B.
Peter Wang
Peter Wang was a Taiwanese-American actor and filmmaker best known for his role in the influential Asian American independent film "Chan Is Missing."
-
C.
William Li
William Li is a Chinese entrepreneur best known as the founder and CEO of the electric vehicle company NIO.
-
D.
Sam Liu
Sam Liu is an American animation director best known for his extensive work on DC Comics animated films and television series.
-
E.
Michael Li
Michael Li is an entrepreneur best known as a co-founder of Playdom, a social gaming company that became a major developer of games for social networks.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cc5c448190887a836f577d01ba |
completed | April 27, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a15846a308190be8ba33d61e9ec5b |
completed | May 17, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_6a0a16ac5ee881909ede61c149be61fa |
completed | May 17, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a17d9a48881908d9858e40d41674c |
completed | May 17, 2026, 7:32 p.m. |
Created at: April 16, 2026, 6:30 p.m.