Triple

T3281293
Position Surface form Disambiguated ID Type / Status
Subject I Am Not Your Negro E68876 entity
Predicate editedBy P1954 FINISHED
Object Alexandra Strauss E340337 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: Alexandra Strauss | Statement: [I Am Not Your Negro, editedBy, Alexandra Strauss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandra Strauss
Context triple: [I Am Not Your Negro, editedBy, Alexandra Strauss]
  • A. Alexandra Strauss chosen
    Alexandra Strauss is a literary editor known for her work shaping and refining the text of *The Tale*.
  • B. Mary Gimbel
    Mary Gimbel is best known as the first wife of acclaimed American film director Sidney Lumet.
  • C. Tiffany
    Tiffany is a feminine given name of Greek origin, commonly associated with the feast of Epiphany and used in various English-speaking countries.
  • D. J. C. Stearns
    J. C. Stearns was one of the contributing authors to the influential Franck Report on the implications of nuclear weapons during the Manhattan Project era.
  • E. Tiffany & Co.
    Tiffany & Co. is a renowned American luxury jewelry and specialty retailer famous for its diamond engagement rings, sterling silver, and iconic blue boxes.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb032d76c81909c568a4e56d12ce9 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e851d2bc8190ba887cd1c81c880d completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.