Triple

T4758241
Position Surface form Disambiguated ID Type / Status
Subject Blazes Boylan E105638 entity
Predicate appearsInChapter P795 FINISHED
Object Sirens 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: Sirens | Statement: [Blazes Boylan, appearsInChapter, Sirens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirens
Context triple: [Blazes Boylan, appearsInChapter, Sirens]
  • 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. the Sirens chosen
    The Sirens are mythical creatures from Greek mythology whose irresistibly beautiful song lures sailors to their doom.
  • D. Sirens' Whispering
    "Sirens' Whispering" is a track by the musical project Oceanic, likely evoking an atmospheric, sea-inspired soundscape.
  • E. The Sound
    The Sound is the strait between Denmark and Sweden that connects the Baltic Sea to the Kattegat and is one of the world's busiest waterways.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650ad0f88190844bfcb46b3071c2 completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43b837408190a3de13930e3e5e19 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:20 p.m.