Triple

T3845167
Position Surface form Disambiguated ID Type / Status
Subject Fivio Foreign E93550 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: [Fivio Foreign, 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: [Fivio Foreign, 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. Thirteen
    Thirteen is a studio album by American country and folk singer-songwriter Emmylou Harris.
  • C. 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.
  • D. (500) Days of Summer
    (500) Days of Summer is a 2009 romantic comedy-drama film that follows a nonlinear account of a failed relationship between a greeting-card writer and his quirky coworker in Los Angeles.
  • E. Tootsie
    Tootsie is a 1982 American comedy film in which Dustin Hoffman plays an out-of-work actor who disguises himself as a woman to land a role, leading to unexpected fame and complications.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb655c081909ec5ff3d09eb4778 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b504122cb08190ba97ce14e8d891fc completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.