Triple

T5572640
Position Surface form Disambiguated ID Type / Status
Subject DeMille E146238 entity
Predicate hasVariant P455 FINISHED
Object de Mille E83724 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: de Mille | Statement: [DeMille, hasVariant, de Mille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Mille
Context triple: [DeMille, hasVariant, de Mille]
  • A. de Mille chosen
    De Mille is a surname most famously associated with American choreographer and dancer Agnes de Mille and her influential contributions to 20th-century musical theatre and ballet.
  • B. Haditch
    Haditch is a village in Ukraine best known as the burial site and pilgrimage destination associated with Rabbi Shneur Zalman of Liadi, the founder of Chabad Hasidism.
  • C. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • D. deMille
    deMille is a notable American family name most famously associated with influential early 20th-century film directors and screenwriters in Hollywood.
  • E. Miles
    Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020518f348190879ac67dab307134 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d1c6c008190978682491cca1e84 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:37 p.m.