Triple

T7499568
Position Surface form Disambiguated ID Type / Status
Subject Snakes on a Plane E177222 entity
Predicate stars P1956 FINISHED
Object Terry Chen
Terry Chen is a Canadian actor known for his roles in films like "Snakes on a Plane" and various television series.
 E668113 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: Terry Chen | Statement: [Snakes on a Plane, stars, Terry Chen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terry Chen
Context triple: [Snakes on a Plane, stars, Terry Chen]
  • A. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • B. 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.
  • 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. Jerry Chen
    Jerry Chen is a prominent venture capitalist and general partner at Greylock Partners, known for investing in enterprise software and infrastructure startups.
  • E. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • 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: Terry Chen
Triple: [Snakes on a Plane, stars, Terry Chen]
Generated description
Terry Chen is a Canadian actor known for his roles in films like "Snakes on a Plane" and various television series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terry Chen
Target entity description: Terry Chen is a Canadian actor known for his roles in films like "Snakes on a Plane" and various television series.
  • A. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • B. 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.
  • 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. Jerry Chen
    Jerry Chen is a prominent venture capitalist and general partner at Greylock Partners, known for investing in enterprise software and infrastructure startups.
  • E. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f598dfac8190a123daaac0784aee completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c900ad081908506a2097f7fd30b completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83d27190481909e6659ef83d3fde7 completed March 28, 2026, 8:42 p.m.
NED2 Entity disambiguation (via description) batch_69c83de0163c8190a16ea88ef24269d9 completed March 28, 2026, 8:45 p.m.
Created at: March 27, 2026, 3:44 p.m.