Triple

T14270323
Position Surface form Disambiguated ID Type / Status
Subject 3T E353764 entity
Predicate relative P37 FINISHED
Object Janet Jackson E12371 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: Janet Jackson | Statement: [3T, relative, Janet Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janet Jackson
Context triple: [3T, relative, Janet Jackson]
  • A. Janet Jackson chosen
    Janet Jackson is an American singer, songwriter, dancer, and actress known for her innovative pop and R&B music, elaborate stage performances, and significant influence on contemporary music and culture.
  • B. La Toya Jackson
    La Toya Jackson is an American singer, television personality, and member of the Jackson family entertainment dynasty, known for her solo music career and high-profile media appearances.
  • C. Niecy Jackson
    Niecy Jackson is a main supporting character on the 1990s sitcom "Moesha," known as Moesha's loyal, outspoken best friend.
  • D. Paris-Michael Katherine Jackson
    Paris-Michael Katherine Jackson is an American model, actress, singer, and the only daughter of the late pop icon Michael Jackson.
  • E. Jackie Jackson
    Jackie Jackson is an American singer and original member of the Motown family group The Jackson 5.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c31654c81908f53d4c21e255afb completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:10 a.m.