Triple

T6527141
Position Surface form Disambiguated ID Type / Status
Subject Paris Jackson E151333 entity
Predicate givenName P17 FINISHED
Object Paris-Michael
Paris-Michael is the given first name of Paris Jackson, the daughter of Michael Jackson and an American model, actress, and musician.
 E606082 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: Paris-Michael | Statement: [Paris Jackson, givenName, Paris-Michael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paris-Michael
Context triple: [Paris Jackson, givenName, Paris-Michael]
  • A. Michaël
    Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
  • B. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • C. Michel
    Michel is a fictional character appearing in Frederick Forsyth’s political thriller novel "The Dogs of War."
  • D. Michel
    Michel is a French given name commonly used for males, equivalent to "Michael" in English.
  • E. Paul-Michel
    Paul-Michel is the given first name of the influential French philosopher and social theorist Michel Foucault.
  • 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: Paris-Michael
Triple: [Paris Jackson, givenName, Paris-Michael]
Generated description
Paris-Michael is the given first name of Paris Jackson, the daughter of Michael Jackson and an American model, actress, and musician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paris-Michael
Target entity description: Paris-Michael is the given first name of Paris Jackson, the daughter of Michael Jackson and an American model, actress, and musician.
  • A. Michaël
    Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
  • B. Michel
    Michel is a fictional character appearing in Frederick Forsyth’s political thriller novel "The Dogs of War."
  • C. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • D. Michel
    Michel is a French given name commonly used for males, equivalent to "Michael" in English.
  • E. Paul-Michel
    Paul-Michel is the given first name of the influential French philosopher and social theorist Michel Foucault.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ada8a0e48190947616f3a09a2cba completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d52a642c8190a50988f3faf61d39 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6745b40819083fbcb2a4063e34d completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d830ed6c8190a39126d97a5246d3 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:45 p.m.