Triple

T14148728
Position Surface form Disambiguated ID Type / Status
Subject Antoine Monot Jr. E350618 entity
Predicate notableWork P4 FINISHED
Object Stromberg
Stromberg is a popular German television comedy series centered on the misadventures of an inept and politically incorrect office manager, often compared to the British show "The Office."
 E1081711 NE FINISHED

How this triple was built (4 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: Stromberg | Statement: [Antoine Monot Jr., notableWork, Stromberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stromberg
Context triple: [Antoine Monot Jr., notableWork, Stromberg]
  • A. Stromberg
    Stromberg is a German-origin surname borne by various notable individuals across fields such as film, sports, and politics.
  • B. Ingersoll
    Ingersoll is a small industrial town in southwestern Ontario, Canada, known for its manufacturing sector and proximity to major transportation routes.
  • C. Leister
    Leister is a surname of English origin borne by various individuals, including those with the given name Edward.
  • D. Leumann
    Leumann is a surname of likely Germanic or Swiss origin borne by individuals such as academic and public figure Christian Leumann.
  • E. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stromberg
Triple: [Antoine Monot Jr., notableWork, Stromberg]
Generated description
Stromberg is a popular German television comedy series centered on the misadventures of an inept and politically incorrect office manager, often compared to the British show "The Office."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stromberg
Target entity description: Stromberg is a popular German television comedy series centered on the misadventures of an inept and politically incorrect office manager, often compared to the British show "The Office."
  • A. Stromberg
    Stromberg is a German-origin surname borne by various notable individuals across fields such as film, sports, and politics.
  • B. Ingersoll
    Ingersoll is a small industrial town in southwestern Ontario, Canada, known for its manufacturing sector and proximity to major transportation routes.
  • C. Leister
    Leister is a surname of English origin borne by various individuals, including those with the given name Edward.
  • D. Leumann
    Leumann is a surname of likely Germanic or Swiss origin borne by individuals such as academic and public figure Christian Leumann.
  • E. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • F. None of above. chosen

Provenance (5 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf205c788190920b5055f9fe63a8 completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce266b2a08190998f04913064e43f completed May 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69fce2cd8cb481908e3e5a421e732948 completed May 7, 2026, 7:06 p.m.
Created at: April 10, 2026, 12:55 a.m.