Triple

T14124422
Position Surface form Disambiguated ID Type / Status
Subject Judy Greer E339989 entity
Predicate notableWork P4 FINISHED
Object 13 Going on 30 E189813 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: 13 Going on 30 | Statement: [Judy Greer, notableWork, 13 Going on 30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 13 Going on 30
Context triple: [Judy Greer, notableWork, 13 Going on 30]
  • A. 13 Going on 30 chosen
    13 Going on 30 is a 2004 romantic comedy fantasy film about a 13-year-old girl who magically wakes up in her 30-year-old body and must navigate adulthood, starring Jennifer Garner.
  • B. 35 Up
    35 Up is a British documentary film in the long-running "Up" series that revisits the lives of a group of people at age 35 to explore how their aspirations and circumstances have evolved over time.
  • C. Thirteen
    Thirteen is a studio album by American country and folk singer-songwriter Emmylou Harris.
  • D. Thirteen
    Thirteen is a steel roller coaster at Alton Towers Resort in the UK, known for its surprise vertical drop section and psychological horror theme.
  • E. Thirteen
    Thirteen is a 2003 coming-of-age drama film co-written by and starring Nikki Reed that explores the turbulent adolescence of a thirteen-year-old girl.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0a7a7c8190860d8ce47b5f0732 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.