Triple

T13517052
Position Surface form Disambiguated ID Type / Status
Subject Medusa Film E322787 entity
Predicate notableWork P4 FINISHED
Object Manual of Love 3 E1044852 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: Manual of Love 3 | Statement: [Medusa Film, notableWork, Manual of Love 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manual of Love 3
Context triple: [Medusa Film, notableWork, Manual of Love 3]
  • A. Manual of Love chosen
    Manual of Love is a popular Italian romantic comedy film structured as interconnected episodes exploring different stages of relationships.
  • B. The Lexicon of Love
    The Lexicon of Love is a critically acclaimed 1982 debut album by English pop band ABC, renowned for its lush orchestral production and sophisticated, romantic new wave sound.
  • C. Mad Love
    "Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
  • D. Mad Love
    "Mad Love" is a popular dancehall-pop song by Jamaican artist Sean Paul, known for its catchy hook and club-friendly production.
  • E. Mad Love
    Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa0ed508190b2855171b1945e84 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba835f08190bdc21de864e0fcc8 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:44 p.m.