Triple

T10280700
Position Surface form Disambiguated ID Type / Status
Subject Debbie Rowe E241091 entity
Predicate child P120 FINISHED
Object Paris-Michael Katherine Jackson E229599 NE FINISHED

How this triple was built (2 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 Katherine Jackson | Statement: [Debbie Rowe, child, Paris-Michael Katherine Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris-Michael Katherine Jackson
Context triple: [Debbie Rowe, child, Paris-Michael Katherine Jackson]
  • A. Paris-Michael Katherine Jackson chosen
    Paris-Michael Katherine Jackson is an American model, actress, singer, and the only daughter of the late pop icon Michael Jackson.
  • B. Jackie Jackson
    Jackie Jackson is an American singer and original member of the Motown family group The Jackson 5.
  • C. Jackie Jackson
    Jackie Jackson is an actor known for appearing in the film "Out West with the Hardys."
  • D. Michael Joseph Jackson Jr.
    Michael Joseph Jackson Jr. is the eldest son of the late pop icon Michael Jackson, known for largely maintaining a private life outside of occasional public and media appearances.
  • E. Niecy Jackson
    Niecy Jackson is a main supporting character on the 1990s sitcom "Moesha," known as Moesha's loyal, outspoken best friend.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a0c90c8190ad6ee479a32e5a95 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f82f16688190b1c6b80e424bd552 completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:38 a.m.