Triple

T7924094
Position Surface form Disambiguated ID Type / Status
Subject Wolfgang Petersen E184017 entity
Predicate familyName P18 FINISHED
Object Petersen
Petersen is a German surname borne by numerous notable individuals across fields such as film, sports, and politics.
 E698038 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: Petersen | Statement: [Wolfgang Petersen, familyName, Petersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Petersen
Context triple: [Wolfgang Petersen, familyName, Petersen]
  • A. Peterson
    Peterson is a common English and Scandinavian patronymic surname meaning "son of Peter."
  • B. Peters
    Peters is the married surname of Svetlana Iosifovna Stalina, the daughter of Soviet leader Joseph Stalin.
  • C. Peters
    Peters is a surname of English and German origin borne by numerous notable individuals across various fields.
  • D. Peters
    Peters is the family name of classic Hollywood film star Carole Lombard, known for her acclaimed roles in 1930s screwball comedies.
  • E. Peters
    Peters is a central crew member and medical technician aboard the rescue vessel Lewis and Clark in the 1997 science fiction horror film "Event Horizon."
  • 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: Petersen
Triple: [Wolfgang Petersen, familyName, Petersen]
Generated description
Petersen is a German surname borne by numerous notable individuals across fields such as film, sports, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Petersen
Target entity description: Petersen is a German surname borne by numerous notable individuals across fields such as film, sports, and politics.
  • A. Peterson
    Peterson is a common English and Scandinavian patronymic surname meaning "son of Peter."
  • B. Peters
    Peters is the married surname of Svetlana Iosifovna Stalina, the daughter of Soviet leader Joseph Stalin.
  • C. Peters
    Peters is a surname of English and German origin borne by numerous notable individuals across various fields.
  • D. Peters
    Peters is a central crew member and medical technician aboard the rescue vessel Lewis and Clark in the 1997 science fiction horror film "Event Horizon."
  • E. Peters
    Peters is the family name of classic Hollywood film star Carole Lombard, known for her acclaimed roles in 1930s screwball comedies.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aac02bc8190b13fc354a4fa91d3 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf3c3288190ac3df917be92f9f8 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f222c808190b9ef39896f149278 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76c896c08190a67a5b572436f2d9 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:06 p.m.