Triple

T10529681
Position Surface form Disambiguated ID Type / Status
Subject Ligeia E248403 entity
Predicate category P87 FINISHED
Object SirensInMythology E24661 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: SirensInMythology | Statement: [Ligeia, category, SirensInMythology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SirensInMythology
Context triple: [Ligeia, category, SirensInMythology]
  • A. Sirens
    "Sirens" is a British comedy-drama television series in which Richard Madden stars as a paramedic navigating the darkly humorous and chaotic realities of emergency medical work.
  • B. Sirens
    "Sirens" is a reflective, melodic rock ballad by Pearl Jam known for its emotional lyrics and expansive, atmospheric sound.
  • C. Siren
    "Siren" is a 1975 art rock album by Roxy Music, noted for its sophisticated sound, innovative production, and iconic cover art.
  • D. the Sirens chosen
    The Sirens are mythical creatures from Greek mythology whose irresistibly beautiful song lures sailors to their doom.
  • E. Nereids
    The Nereids are sea nymphs from Greek mythology, often depicted as beautiful maidens who accompany Poseidon and personify various aspects of the Mediterranean Sea.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f7d8ac8190b90c1a7f77b23545 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e3caf4c8190b19199f1a68a00de completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:30 p.m.