Triple

T15805292
Position Surface form Disambiguated ID Type / Status
Subject Tim Suhrstedt E383199 entity
Predicate notableWork P4 FINISHED
Object Office Space E367154 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: Office Space | Statement: [Tim Suhrstedt, notableWork, Office Space]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Office Space
Context triple: [Tim Suhrstedt, 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 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.
  • D. 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.
  • E. Home Office
    The Home Office is a major UK government department responsible for immigration, security, and law and order, including policing and counter-terrorism.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52682548190998d8b6a08982877 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998d17648190b9f020632461965f completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.