Triple

T17131180
Position Surface form Disambiguated ID Type / Status
Subject Juno E415723 entity
Predicate epithet P743 FINISHED
Object Juno Lucina 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 Lucina | Statement: [Juno, epithet, Juno Lucina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juno Lucina
Context triple: [Juno, epithet, Juno Lucina]
  • A. Rhea Silvia
    Rhea Silvia is a figure in Roman mythology, a Vestal Virgin and princess who became the mother of Rome’s legendary founders, Romulus and Remus.
  • B. Fortuna Primigenia
    Fortuna Primigenia was an important ancient Roman goddess of fortune and fate, especially venerated at Praeneste as a powerful oracular deity.
  • C. goddess Roma
    Goddess Roma is the personification of the city and state of Rome, venerated in Roman religion as a divine embodiment of Roman power, identity, and eternity.
  • D. 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.
  • E. 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.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02a9fbc81909d820d29417aa55c completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01482af1288190b7fdc8a84d0edeaf completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:36 a.m.