Triple

T4480807
Position Surface form Disambiguated ID Type / Status
Subject Kori Rae E100127 entity
Predicate spouse P13 FINISHED
Object Darla K. Anderson E312560 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: Darla K. Anderson | Statement: [Kori Rae, spouse, Darla K. Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darla K. Anderson
Context triple: [Kori Rae, spouse, Darla K. Anderson]
  • A. Darla K. Anderson chosen
    Darla K. Anderson is an American film producer best known for her work on several acclaimed Pixar animated features.
  • B. Darlene Alderson
    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.
  • C. Donna Anderson
    Donna Anderson is an American actress best known for her role in the 1960 courtroom drama film "Inherit the Wind."
  • D. Bonnie E. John
    Bonnie E. John is a cognitive psychologist and human-computer interaction researcher known for her work on cognitive modeling and usability engineering.
  • E. Amy E. Duddleston
    Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dcaba88190ae2d64c038450ca6 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69becf8f926481908f6e1cf33fc79a04 completed March 21, 2026, 5:04 p.m.
Created at: March 12, 2026, 11:36 p.m.