Triple

T22189814
Position Surface form Disambiguated ID Type / Status
Subject Diedrich Bader E548387 entity
Predicate notableWork P4 FINISHED
Object Office Space 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: Office Space | Statement: [Diedrich Bader, notableWork, Office Space]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Office Space
Context triple: [Diedrich Bader, notableWork, Office Space]
  • A. Office Space chosen
    Office Space is a 1999 cult-classic workplace comedy film that satirizes corporate office culture and the frustrations of white-collar employees.
  • B. Office Office
    Office Office is an Indian satirical television series known for its humorous take on government bureaucracy and corruption, starring Pankaj Kapur in the lead role.
  • C. Office
    Office is Microsoft’s flagship suite of productivity applications, including programs like Word, Excel, and PowerPoint, widely used for document creation, data analysis, and communication in both business and personal settings.
  • D. "Office"
    "Office" is a 2015 Hong Kong musical comedy-drama film directed by Johnnie To, adapted from Sylvia Chang’s stage play and set in a high-rise corporation to satirize modern office politics and capitalism.
  • E. One Office
    One Office is an integrated organizational model used in the UN’s “Delivering as One” approach to streamline internal operations and support more coherent, efficient country-level work.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aac07d88190848c940863c0a0c7 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.