Triple

T21281717
Position Surface form Disambiguated ID Type / Status
Subject Marsha Mason E524539 entity
Predicate notableWork P4 FINISHED
Object Chapter Two NE NERFINISHED

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: Chapter Two | Statement: [Marsha Mason, notableWork, Chapter Two]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chapter Two
Context triple: [Marsha Mason, notableWork, Chapter Two]
  • A. Chapter Two chosen
    Chapter Two is a 1979 romantic comedy film produced by Lawrence Weingarten, adapted from Neil Simon’s semi-autobiographical stage play about love and second chances after loss.
  • B. Chapter Two
    "Chapter Two" is a 1970 soul and R&B album by American singer Roberta Flack, showcasing her smooth vocal style and sophisticated, jazz-influenced arrangements.
  • C. Chapter One
    Chapter One is a record label known for releasing music by the influential alternative hip hop group The Pharcyde.
  • D. Chapter One
    Chapter One is the debut studio album by English singer-songwriter Ella Henderson, featuring pop and soul-influenced tracks that introduced her to mainstream audiences.
  • E. Part Two
    Part Two is a major section of John Conway’s mathematical work "On Numbers and Games," where he develops and explores the theory of combinatorial games in depth.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d249fc8190b0b310467ddeac3c completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:02 p.m.