Triple

T11329165
Position Surface form Disambiguated ID Type / Status
Subject The Boss Baby E268297 entity
Predicate voiceActor P1507 FINISHED
Object ViviAnn Yee
ViviAnn Yee is an American child voice actress known for her roles in animated films and television series, including work in the Boss Baby franchise.
E919464 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: ViviAnn Yee | Statement: [The Boss Baby, voiceActor, ViviAnn Yee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ViviAnn Yee
Context triple: [The Boss Baby, voiceActor, ViviAnn Yee]
  • A. Yvonne Chu
    Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
  • B. Vivian Chan
    Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
  • C. Vivian Lee
    Vivian Lee is a prominent architect and key leader at the internationally renowned firm Richard Meier & Partners Architects.
  • D. Karen Kwan
    Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
  • E. Rachel Fong
    Rachel Fong is a researcher in machine learning and reinforcement learning, known for her work on the Hindsight Experience Replay technique.
  • 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: ViviAnn Yee
Triple: [The Boss Baby, voiceActor, ViviAnn Yee]
Generated description
ViviAnn Yee is an American child voice actress known for her roles in animated films and television series, including work in the Boss Baby franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ViviAnn Yee
Target entity description: ViviAnn Yee is an American child voice actress known for her roles in animated films and television series, including work in the Boss Baby franchise.
  • A. Yvonne Chu
    Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
  • B. Vivian Chan
    Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
  • C. Vivian Lee
    Vivian Lee is a prominent architect and key leader at the internationally renowned firm Richard Meier & Partners Architects.
  • D. Karen Kwan
    Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
  • E. Rachel Fong
    Rachel Fong is a researcher in machine learning and reinforcement learning, known for her work on the Hindsight Experience Replay technique.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5261770ac8190b8fc7e2099aa8ace completed April 19, 2026, 6:59 p.m.
NEDg Description generation batch_69e52c83768c819086ebfd870ad81998 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531c2a4b88190bb1efd57536bae9a completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.