Triple

T19002809
Position Surface form Disambiguated ID Type / Status
Subject Stuart Rosenberg E464998 entity
Predicate familyName P18 FINISHED
Object Rosenberg
Rosenberg is a common German and Ashkenazi Jewish surname borne by numerous notable figures in fields such as politics, arts, and sciences.
E1353781 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: Rosenberg | Statement: [Stuart Rosenberg, familyName, Rosenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosenberg
Context triple: [Stuart Rosenberg, familyName, Rosenberg]
  • A. Rosenstein
    Rosenstein is a surname most notably associated with Justin Rosenstein, the American software programmer and co-founder of Asana.
  • B. Rosenhorn
    Rosenhorn is a notable subsidiary peak in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
  • C. Rosenblum
    Rosenblum is a Jewish surname borne by various notable individuals, including Israeli journalist and politician Herzl Rosenblum.
  • D. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • E. Rosen
    Rosen is a common Ashkenazi Jewish surname borne by numerous notable figures in politics, arts, science, and business.
  • 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: Rosenberg
Triple: [Stuart Rosenberg, familyName, Rosenberg]
Generated description
Rosenberg is a common German and Ashkenazi Jewish surname borne by numerous notable figures in fields such as politics, arts, and sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rosenberg
Target entity description: Rosenberg is a common German and Ashkenazi Jewish surname borne by numerous notable figures in fields such as politics, arts, and sciences.
  • A. Rosenstein
    Rosenstein is a surname most notably associated with Justin Rosenstein, the American software programmer and co-founder of Asana.
  • B. Rosenhorn
    Rosenhorn is a notable subsidiary peak in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
  • C. Rosenblum
    Rosenblum is a Jewish surname borne by various notable individuals, including Israeli journalist and politician Herzl Rosenblum.
  • D. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • E. Rosen
    Rosen is a common Ashkenazi Jewish surname borne by numerous notable figures in politics, arts, science, and business.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a252588190a40398b1879fb096 completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05b45dc7e88190a0bf79ea1bb18f99 completed May 14, 2026, 11:39 a.m.
NEDg Description generation batch_6a05b5dfac0c8190b67921280d5ab1fe completed May 14, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a05b68aba3081908ca21d732e45f454 completed May 14, 2026, 11:48 a.m.
Created at: April 10, 2026, 12:01 p.m.