Triple

T17767673
Position Surface form Disambiguated ID Type / Status
Subject Arnt Jensen E443551 entity
Predicate notableWork P4 FINISHED
Object Inside NE NERFINISHED

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: Inside | Statement: [Arnt Jensen, notableWork, Inside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inside
Context triple: [Arnt Jensen, notableWork, Inside]
  • A. Inside
    Inside is a critically acclaimed atmospheric puzzle-platformer video game by Playdead, known for its dark, minimalist storytelling and haunting visual design.
  • B. Inside chosen
    Inside is a visually striking, concept-driven stage work by Greek director and choreographer Dimitris Papaioannou that explores human presence, repetition, and everyday ritual within a single, continuous setting.
  • C. Interior
    "Interior" is a painting by American self-taught artist Horace Pippin, reflecting his characteristic, quietly powerful depictions of everyday domestic life.
  • D. Interior
    The Interior is a ministerial department within the Monégasque government responsible for internal affairs, public security, and administration of the principality.
  • E. Within
    Within is an immersive media and virtual reality company known for producing and distributing high-quality VR experiences and storytelling content.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fccb9881908923564bf319f3c1 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.