Triple

T11945523
Position Surface form Disambiguated ID Type / Status
Subject The Monster E284286 entity
Predicate songwriter P1141 FINISHED
Object Frequency E931102 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: Frequency | Statement: [The Monster, songwriter, Frequency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frequency
Context triple: [The Monster, songwriter, Frequency]
  • A. Frequency
    Frequency is a 2000 science fiction thriller film involving time-bending communication between a father and son to prevent a series of tragedies.
  • B. Frequency chosen
    Frequency is a rhythm-based music video game developed by Harmonix in which players interactively remix and perform songs by triggering musical tracks in time with the beat.
  • C. Full Frequency
    Full Frequency is a 2014 dancehall and reggae fusion studio album by Jamaican artist Sean Paul, featuring club-oriented tracks and numerous high-profile collaborations.
  • D. Freq Nasty
    Freq Nasty is a breakbeat and bass music producer and DJ known for his influential role in the late-1990s and early-2000s UK electronic music scene.
  • E. Frequens
    Frequens is a decree of the Council of Constance that mandated the regular convening of general church councils to limit papal authority and promote ecclesiastical reform.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903456ec0819082b8b10755a6b732 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440ac6c68819094bd27058d13cd4d completed May 1, 2026, 5:57 a.m.
Created at: April 8, 2026, 9:45 p.m.