Triple

T7215359
Position Surface form Disambiguated ID Type / Status
Subject Love of Aphrodite and Adonis E149517 entity
Predicate featuresMortal P75481 FINISHED
Object Adonis E147641 NE FINISHED

How this triple was built (3 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: Adonis | Statement: [Love of Aphrodite and Adonis, featuresMortal, Adonis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adonis
Context triple: [Love of Aphrodite and Adonis, featuresMortal, Adonis]
  • A. Adonis chosen
    Adonis is a strikingly handsome youth in Greek mythology whose beauty and tragic death are central to myths of love, desire, and rebirth.
  • B. Hyacinthus
    Hyacinthus is a beautiful Spartan youth from Greek mythology whose tragic death and transformation into a flower are closely associated with the god Apollo.
  • C. Sterope
    Sterope is a figure from Greek mythology, traditionally considered one of the Pleiades and a daughter of the Titan Atlas.
  • D. Narcissus
    Narcissus is a figure from Greek mythology known for falling in love with his own reflection, symbolizing self-obsession and vanity.
  • E. Temetrius
    Temetrius is the given first name of NBA star Ja Morant, a prominent American professional basketball player.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresMortal
Context triple: [Love of Aphrodite and Adonis, featuresMortal, Adonis]
  • A. featuresMonster
    Indicates that something includes or prominently presents a monster as part of its content or composition.
  • B. featuresSuit
    Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
  • C. featuresMood
    Indicates that something includes, presents, or conveys a particular mood or emotional atmosphere.
  • D. featuresStar
    Indicates that one entity prominently includes or showcases another entity as a main star or featured performer.
  • E. featuresText
    Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
  • F. None of above. chosen

Provenance (5 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e98ebe1c81909891b4a1c2c3a4aa completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbf5edbc81908cb40a5253e98b68 completed March 28, 2026, 12:39 p.m.
PD Predicate disambiguation batch_69c6e75f84e481909e7866186ae80cff completed March 27, 2026, 8:23 p.m.
PDg Predicate description generation batch_69c6e889854481908c765ce2107f2d3a completed March 27, 2026, 8:28 p.m.
Created at: March 27, 2026, 2:53 p.m.