Triple

T16065552
Position Surface form Disambiguated ID Type / Status
Subject Juno Temple E389721 entity
Predicate actedIn P1668 FINISHED
Object Year One E564468 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: Year One | Statement: [Juno Temple, actedIn, Year One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Year One
Context triple: [Juno Temple, actedIn, Year One]
  • A. Year One chosen
    Year One is a 2009 comedy film directed by Harold Ramis that follows two primitive men on a biblical-era adventure, starring Jack Black and Michael Cera.
  • B. The First Year
    The First Year is a 2001 documentary film that follows five first-year public school teachers in Los Angeles as they navigate the challenges of their new profession.
  • C. The First Four Years
    The First Four Years is a posthumously published autobiographical novel by Laura Ingalls Wilder that continues her Little House series by recounting the early years of her marriage on the Dakota prairie.
  • D. The First Day
    The First Day is the initial installment in a narrative series whose story is continued in its sequel, The Second Day.
  • E. The First Grader
    The First Grader is a 2010 biographical drama film about an elderly Kenyan man who enrolls in primary school to learn to read, directed by Justin Chadwick.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837bec688190a77ad347600b6bdc completed April 17, 2026, 12:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ef6648190bf1fe216e78ef660 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.