Triple

T791970
Position Surface form Disambiguated ID Type / Status
Subject Hera E16933 entity
Predicate parent P120 FINISHED
Object Rhea E21593 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: Rhea | Statement: [Hera, parent, Rhea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhea
Context triple: [Hera, parent, Rhea]
  • A. Rhea chosen
    Rhea is a Titaness in Greek mythology, best known as the mother of several Olympian gods, including Zeus, whom she saved from being devoured by his father Cronus.
  • B. Juno
    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.
  • C. Juno
    Juno is the ancient Roman queen of the gods, associated with marriage, childbirth, and the protection of the state.
  • D. Gaia
    Gaia is the primordial Greek earth goddess, revered as the ancestral mother of all life and the personification of the Earth itself.
  • E. HERA
    HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a798c7608190b9c79c52a1fe0859 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67880f9608190b0676eb47ea99ca1 completed March 3, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:38 p.m.