Triple

T13346311
Position Surface form Disambiguated ID Type / Status
Subject Eric Steelberg E317958 entity
Predicate workedOn P3 FINISHED
Object Juno 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 | Statement: [Eric Steelberg, workedOn, Juno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juno
Context triple: [Eric Steelberg, workedOn, Juno]
  • A. 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.
  • 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
    Juno is a small unincorporated community located in Dawson County, Georgia, known for its rural character and scenic North Georgia setting.
  • D. Juno
    Juno is the ancient Roman queen of the gods, associated with marriage, childbirth, and the protection of the state.
  • E. Juno II
    Juno II was an early American expendable launch vehicle derived from the Jupiter missile, used by NASA in the late 1950s to launch Pioneer and other scientific satellites.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e89c65c819093f3bea11d6073c5 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f726738ea08190b0b7634b29f5d94e completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:31 p.m.