Triple

T1355116
Position Surface form Disambiguated ID Type / Status
Subject Moirae E28970 entity
Predicate alsoKnownAs P39 FINISHED
Object Three Fates E28970 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: Three Fates | Statement: [Moirae, alsoKnownAs, Three Fates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Three Fates
Context triple: [Moirae, alsoKnownAs, Three Fates]
  • A. Moirae chosen
    The Moirae are the three personified goddesses of fate in Greek mythology who determine the destinies and lifespans of gods and mortals alike.
  • B. Fates
    The Fates are the three ancient Greek goddesses who control the destiny and lifespan of every mortal and god.
  • C. Sibyl
    Sibyl is a prophetic figure from ancient Greco-Roman tradition, typically depicted as a woman endowed with divine insight and the power of inspired oracles.
  • D. The Three Graces
    The Three Graces is a celebrated Baroque painting by Peter Paul Rubens depicting three nude mythological figures symbolizing beauty, charm, and joy.
  • E. Erinys
    Erinys is an epithet of the Greek goddess Demeter emphasizing her wrathful, vengeful aspect, particularly in myths involving the abduction of her daughter Persephone.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c28afc848190925d8b2f9aeac12d completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47b63c081908a859a88ad5564b8 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:56 p.m.