Triple

T10885696
Position Surface form Disambiguated ID Type / Status
Subject Johan Söderqvist E257038 entity
Predicate notableWork P4 FINISHED
Object Limbo E96226 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: Limbo | Statement: [Johan Söderqvist, notableWork, Limbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limbo
Context triple: [Johan Söderqvist, notableWork, Limbo]
  • A. Limbo
    Limbo is a critically acclaimed 2020 hip-hop album by American rapper Aminé that blends introspective lyricism with vibrant, melodic production.
  • B. Limbo
    Limbo is the first circle of Hell in Dante Alighieri’s Divine Comedy, depicted as the abode of virtuous pagans and unbaptized souls who live without torment but forever separated from God.
  • C. Limbo
    Limbo is a film featuring actor Mason Lee in a prominent role.
  • D. Limbo
    "Limbo" is a globally popular reggaeton-dance track by Puerto Rican artist Daddy Yankee, known for its infectious rhythm and widespread success in Latin and international charts.
  • E. Limbo chosen
    Limbo is a critically acclaimed 2010 indie puzzle-platform video game known for its monochromatic art style, eerie atmosphere, and physics-based environmental puzzles.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dd6a3c81909965ef774e8b7309 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ecf1c48190aef0d31ef03d1f88 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.