Triple

T216335
Position Surface form Disambiguated ID Type / Status
Subject Charlie Chaplin E4112 entity
Predicate child P120 FINISHED
Object Michael Chaplin
Michael Chaplin is an English actor and writer best known as one of the sons of legendary filmmaker Charlie Chaplin.
E27481 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: Michael Chaplin | Statement: [Charlie Chaplin, child, Michael Chaplin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Chaplin
Context triple: [Charlie Chaplin, child, Michael Chaplin]
  • A. John Merrill
    John Merrill was an American architect best known as a co-founder of the influential international architecture and engineering firm Skidmore, Owings & Merrill.
  • B. Tony James
    Tony James is an American financier and executive best known as the longtime president and chief operating officer of Blackstone and for his leadership roles at major cultural institutions.
  • C. Paul Young
    Paul Young is an American politician serving as the mayor of Memphis, Tennessee.
  • D. Gary Kemp
    Gary Kemp is an English musician and actor best known as the guitarist and songwriter for the band Spandau Ballet and for his roles in films such as "The Krays."
  • E. Donald Davies
    Donald Davies was a British computer scientist who pioneered the concept of packet switching, a foundational technology for modern computer networks and the internet.
  • 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: Michael Chaplin
Triple: [Charlie Chaplin, child, Michael Chaplin]
Generated description
Michael Chaplin is an English actor and writer best known as one of the sons of legendary filmmaker Charlie Chaplin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Chaplin
Target entity description: Michael Chaplin is an English actor and writer best known as one of the sons of legendary filmmaker Charlie Chaplin.
  • A. John Merrill
    John Merrill was an American architect best known as a co-founder of the influential international architecture and engineering firm Skidmore, Owings & Merrill.
  • B. Tony James
    Tony James is an American financier and executive best known as the longtime president and chief operating officer of Blackstone and for his leadership roles at major cultural institutions.
  • C. Paul Young
    Paul Young is an American politician serving as the mayor of Memphis, Tennessee.
  • D. Gary Kemp
    Gary Kemp is an English musician and actor best known as the guitarist and songwriter for the band Spandau Ballet and for his roles in films such as "The Krays."
  • E. Donald Davies
    Donald Davies was a British computer scientist who pioneered the concept of packet switching, a foundational technology for modern computer networks and the internet.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c4edfa081909fe97c86c3c7801d completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a33e4057508190afeea371e2d04e6d completed Feb. 28, 2026, 7:13 p.m.
NEDg Description generation batch_69a33e9b9db0819087e95e2734807ce1 completed Feb. 28, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69a33ef2d5208190ba605b270f7ce5df completed Feb. 28, 2026, 7:16 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.