Triple

T22024516
Position Surface form Disambiguated ID Type / Status
Subject Black Box E543924 entity
Predicate title P38 FINISHED
Object Black Box 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: Black Box | Statement: [Black Box, title, Black Box]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Box
Context triple: [Black Box, title, Black Box]
  • A. Black Box
    Black Box is a monumental minimalist sculpture by American artist Tony Smith, known for its stark geometric form and exploration of space and perception.
  • B. Black Box
    Black Box is a 2020 science fiction horror film that follows a man undergoing an experimental treatment to recover his memory after a traumatic accident.
  • C. Black Box
    "Black Box" is a prominent epistolary novel by Israeli author Amos Oz that explores family conflict, politics, and identity in modern Israeli society.
  • D. Black Box
    Black Box is the main concert and event hall within AFAS Live in Amsterdam, known for hosting large-scale live music performances and shows.
  • E. Blue Box
    Blue Box was a compatibility environment in early Mac OS X that allowed users to run classic Mac OS applications within the new operating system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ca45a08190b2d5d3a8eb37cb4b completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.