Triple

T2330653
Position Surface form Disambiguated ID Type / Status
Subject Turning Red E48392 entity
Predicate voiceActor P1507 FINISHED
Object Topher Ngo
Topher Ngo is a voice actor and singer best known for his role in Pixar's animated film "Turning Red."
E256033 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: Topher Ngo | Statement: [Turning Red, voiceActor, Topher Ngo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Topher Ngo
Context triple: [Turning Red, voiceActor, Topher Ngo]
  • A. 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.
  • B. Jason Wong
    Jason Wong is a British actor known for his roles in film and television, including his appearance in Guy Ritchie's crime-comedy series "The Gentlemen."
  • C. Terence Chang
    Terence Chang is a Hong Kong-born film producer best known for his collaborations with director John Woo on action films in both Asian and Hollywood cinema.
  • D. Ben Chang
    Ben Chang is a chaotic and eccentric Spanish teacher-turned-student from the TV sitcom "Community," known for his unpredictable behavior and over-the-top antics.
  • E. 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.
  • 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: Topher Ngo
Triple: [Turning Red, voiceActor, Topher Ngo]
Generated description
Topher Ngo is a voice actor and singer best known for his role in Pixar's animated film "Turning Red."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Topher Ngo
Target entity description: Topher Ngo is a voice actor and singer best known for his role in Pixar's animated film "Turning Red."
  • A. 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.
  • B. Jason Wong
    Jason Wong is a British actor known for his roles in film and television, including his appearance in Guy Ritchie's crime-comedy series "The Gentlemen."
  • C. Terence Chang
    Terence Chang is a Hong Kong-born film producer best known for his collaborations with director John Woo on action films in both Asian and Hollywood cinema.
  • D. Ben Chang
    Ben Chang is a chaotic and eccentric Spanish teacher-turned-student from the TV sitcom "Community," known for his unpredictable behavior and over-the-top antics.
  • E. 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.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc669956881908b8d9784d6a06acf completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8974ab8c81908ec2bddcc882cf42 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8a084b388190a6d79df8d94b236d completed March 9, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae8a895b6c8190bfd064742e3cc4f8 completed March 9, 2026, 8:53 a.m.
Created at: March 4, 2026, 7:50 p.m.