Triple

T613295
Position Surface form Disambiguated ID Type / Status
Subject The Light We Carry E12146 entity
Predicate followUpTo P9710 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: [The Light We Carry, followUpTo, Becoming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Becoming
Context triple: [The Light We Carry, followUpTo, 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. An American Dream
    "An American Dream" is a 1965 novel by Norman Mailer that blends psychological drama, crime, and social critique to explore violence, masculinity, and moral decay in mid-20th-century America.
  • C. The Black Swan
    The Black Swan is a 1942 swashbuckling Technicolor adventure film starring Tyrone Power as a reformed pirate caught in a tale of romance and high-seas intrigue.
  • D. The Wonder
    The Wonder is a psychological period drama film in which Florence Pugh plays an English nurse sent to investigate a young Irish girl who appears to survive without eating.
  • E. Paper Towns
    Paper Towns is a 2015 coming-of-age mystery film, based on John Green’s novel, that follows a teenager’s quest to find his enigmatic neighbor after her sudden disappearance.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e08dbf88190ab050078a63e266b completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a533dabe288190ab25bd6d76e79d06 completed March 2, 2026, 6:53 a.m.
Created at: March 1, 2026, 7:35 p.m.