Triple

T3262640
Position Surface form Disambiguated ID Type / Status
Subject Peter Berg E68447 entity
Predicate familyName P18 FINISHED
Object Berg
Berg is a common Germanic surname borne by numerous notable individuals across fields such as arts, sports, and academia.
 E287565 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: Berg | Statement: [Peter Berg, familyName, Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berg
Context triple: [Peter Berg, familyName, Berg]
  • A. Berg
    Berg was a historical German territorial entity that gave its name to the later Grand Duchy of Berg in the Rhineland region.
  • B. Wilseder Berg
    Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
  • C. Hoche
    Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
  • D. Gora
    Gora is a major Bengali novel by Rabindranath Tagore that explores themes of identity, nationalism, and religious and social reform in colonial India.
  • E. Alsberg
    Alsberg is a surname of Germanic origin borne by various notable individuals, including American writer and theater director Henry Alsberg.
  • 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: Berg
Triple: [Peter Berg, familyName, Berg]
Generated description
Berg is a common Germanic surname borne by numerous notable individuals across fields such as arts, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berg
Target entity description: Berg is a common Germanic surname borne by numerous notable individuals across fields such as arts, sports, and academia.
  • A. Berg chosen
    Berg was a historical German territorial entity that gave its name to the later Grand Duchy of Berg in the Rhineland region.
  • B. Wilseder Berg
    Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
  • C. Hoche
    Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
  • D. Gora
    Gora is a major Bengali novel by Rabindranath Tagore that explores themes of identity, nationalism, and religious and social reform in colonial India.
  • E. Alsberg
    Alsberg is a surname of Germanic origin borne by various notable individuals, including American writer and theater director Henry Alsberg.
  • F. None of above.

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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa908e881908cbb2ad137819ffb completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee2ec8481908a0c0f4a32c97fe0 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b296709f84819094fe9db721a44f83 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c1c65c81909e661c6beaaec9af completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.