Triple

T16232115
Position Surface form Disambiguated ID Type / Status
Subject Angela Moss E394008 entity
Predicate knows P22660 FINISHED
Object Darlene Alderson NE NERFINISHED

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: Darlene Alderson | Statement: [Angela Moss, knows, Darlene Alderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darlene Alderson
Context triple: [Angela Moss, knows, Darlene Alderson]
  • A. Darlene Alderson chosen
    Darlene Alderson is a skilled hacker and key member of the fsociety collective in the television series "Mr. Robot," known for her close involvement in major cyber-attacks and her complex relationship with her brother Elliot.
  • B. LouAnne Johnson
    LouAnne Johnson is an American teacher and author best known for her memoir about working with at-risk high school students, which inspired the film "Dangerous Minds."
  • C. Patricia Cochran
    Patricia Cochran is best known as the former wife of prominent American attorney Johnnie Cochran, who gained national fame for his role in the O. J. Simpson murder trial.
  • D. Diane Bemus
    Diane Bemus is an individual whose birth name is Diane Bemus and who is also known as Diane Bemus Patrick.
  • E. Darla K. Anderson
    Darla K. Anderson is an American film producer best known for her work on several acclaimed Pixar animated features.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d29fa248190943f4c3f7808908b completed April 17, 2026, 2:01 p.m.
Created at: April 10, 2026, 5:04 a.m.