Triple

T242528
Position Surface form Disambiguated ID Type / Status
Subject Becoming E4962 entity
Predicate originalTitle P65 FINISHED
Object Becoming E4962 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: Becoming | Statement: [Becoming, originalTitle, Becoming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Becoming
Context triple: [Becoming, originalTitle, Becoming]
  • A. Becoming chosen
    "Becoming" is a bestselling memoir by former First Lady Michelle Obama that chronicles her life from childhood through her years in the White House and beyond.
  • B. City of Firsts
    City of Firsts is a historic Massachusetts city known for its early industrial innovations and numerous pioneering achievements in American manufacturing and technology.
  • C. The Light We Carry
    The Light We Carry is a 2022 nonfiction book by Michelle Obama that offers personal reflections and practical wisdom on resilience, hope, and navigating uncertainty.
  • D. The Brave One
    The Brave One is a 2007 psychological thriller film in which Jodie Foster plays a New York radio host who becomes a vigilante after a brutal attack.
  • E. The Wife
    "The Wife" is a sentimental short story by Washington Irving that explores themes of love, loyalty, and devotion within marriage.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25cee6f208190b996be4faa700910 completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf2e84c81908d87847d498f96f4 completed Feb. 28, 2026, 10:32 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.