Triple

T15359226
Position Surface form Disambiguated ID Type / Status
Subject Manipulator E367244 entity
Predicate hasTrack P3284 FINISHED
Object The Singer E883787 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: The Singer | Statement: [Manipulator, hasTrack, The Singer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Singer
Context triple: [Manipulator, hasTrack, The Singer]
  • A. The Singer chosen
    The Singer is a poetic drama by Irish nationalist leader Patrick Pearse that reflects his revolutionary ideals and romantic vision of sacrifice for Ireland.
  • B. Our Singer
    "Our Singer" is a song by the American indie rock band Pavement from their influential 1992 debut album *Slanted and Enchanted*.
  • C. The Singer and the Song
    The Singer and the Song is a 1971 studio album by British singer-songwriter Labi Siffre, showcasing his soulful vocals and introspective, socially aware songwriting.
  • D. The Singer’s House
    The Singer’s House is a poem by Seamus Heaney that reflects on memory, place, and the cultural landscape of rural Ireland.
  • E. The Singer and the Dancer
    The Singer and the Dancer is a 1977 Australian television drama film notable as an early work by filmmaker Gillian Armstrong, exploring the relationship between a young girl and her aging grandmother in rural New South Wales.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2d4934819097fc63603964217c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b47f20081909ef7b077458d1510 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.