Triple

T5806688
Position Surface form Disambiguated ID Type / Status
Subject Bren MacGuff E128761 entity
Predicate fictionalUniverse P3758 FINISHED
Object Juno (film universe) E83220 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: Juno (film universe) | Statement: [Bren MacGuff, fictionalUniverse, Juno (film universe)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juno (film universe)
Context triple: [Bren MacGuff, fictionalUniverse, Juno (film universe)]
  • A. Juno
    Juno is the ancient Roman queen of the gods, associated with marriage, childbirth, and the protection of the state.
  • B. Juno
    Juno is a NASA space probe designed to study Jupiter’s composition, gravity field, magnetic field, and polar magnetosphere to better understand the planet’s formation and evolution.
  • C. Juno chosen
    Juno is a 2007 coming-of-age comedy-drama film about a witty teenager dealing with an unplanned pregnancy, widely praised for its sharp dialogue and performances.
  • D. Juno Pronuba
    Juno Pronuba is an aspect of the Roman goddess Juno revered as the protector and patroness of marriage and married women.
  • E. Juno MacGuff
    Juno MacGuff is the witty, independent, and unexpectedly pregnant teenage protagonist of the 2007 film "Juno," known for her sharp dialogue and emotional maturity.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b15d8108190b434da42631c4e0c completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0983a0b648190ba2c76434d3b1b58 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.