Triple

T6654817
Position Surface form Disambiguated ID Type / Status
Subject Trophy Wife E150913 entity
Predicate portrayedBy P1507 FINISHED
Object Albert Tsai
Albert Tsai is an American child actor known for his comedic television roles, including his breakout performance on the sitcom "Trophy Wife."
 E608636 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: Albert Tsai | Statement: [Trophy Wife, portrayedBy, Albert Tsai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Albert Tsai
Context triple: [Trophy Wife, portrayedBy, Albert Tsai]
  • A. Kuo-Chen Huang
    Kuo-Chen Huang was a physicist whose work on electron–phonon coupling in solids led to the formulation of the Huang–Rhys factor in solid-state spectroscopy.
  • B. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • C. Paul Jen-kuei Li
    Paul Jen-kuei Li is a Taiwanese linguist renowned for his work on Austronesian historical linguistics and the reconstruction of Proto-Austronesian.
  • D. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • E. Joe Tsai
    Joe Tsai is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group who owns the NBA’s Brooklyn Nets.
  • 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: Albert Tsai
Triple: [Trophy Wife, portrayedBy, Albert Tsai]
Generated description
Albert Tsai is an American child actor known for his comedic television roles, including his breakout performance on the sitcom "Trophy Wife."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Albert Tsai
Target entity description: Albert Tsai is an American child actor known for his comedic television roles, including his breakout performance on the sitcom "Trophy Wife."
  • A. Kuo-Chen Huang
    Kuo-Chen Huang was a physicist whose work on electron–phonon coupling in solids led to the formulation of the Huang–Rhys factor in solid-state spectroscopy.
  • B. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • C. Paul Jen-kuei Li
    Paul Jen-kuei Li is a Taiwanese linguist renowned for his work on Austronesian historical linguistics and the reconstruction of Proto-Austronesian.
  • D. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • E. Joe Tsai
    Joe Tsai is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group who owns the NBA’s Brooklyn Nets.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b049958c8190bb3ef0d4c281825b completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eefffdfc8190bc191606bdb481a5 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0d4780c81908e6c274c81d883a7 completed March 27, 2026, 9:04 p.m.
NED2 Entity disambiguation (via description) batch_69c6f15b7d848190815be600234461ba completed March 27, 2026, 9:06 p.m.
Created at: March 27, 2026, 2:01 p.m.