Triple

T12589166
Position Surface form Disambiguated ID Type / Status
Subject Scott Rosenberg E300554 entity
Predicate familyName P18 FINISHED
Object Rosenberg
Rosenberg is a common Ashkenazi Jewish surname of German origin borne by numerous notable individuals across fields such as politics, arts, and science.
 E433816 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: [Scott Rosenberg, familyName, Rosenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rosenberg
Context triple: [Scott 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: [Scott Rosenberg, familyName, Rosenberg]
Generated description
Rosenberg is a common Ashkenazi Jewish surname of German origin borne by numerous notable individuals across fields such as politics, arts, and science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rosenberg
Target entity description: Rosenberg is a common Ashkenazi Jewish surname of German origin borne by numerous notable individuals across fields such as politics, arts, and science.
  • 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 chosen
    Rosen is a common Ashkenazi Jewish surname borne by numerous notable figures in politics, arts, science, and business.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bd5e8c8190a2f233b91682341f completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec0a60c8190948706e8b2fcc0ad completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f662cc2a208190870e2099a8bb5d04 completed May 2, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69f6638319d48190ba73480ce6e91d83 completed May 2, 2026, 8:50 p.m.
Created at: April 9, 2026, 5:06 p.m.