Triple

T2420419
Position Surface form Disambiguated ID Type / Status
Subject Frederick Austerlitz E53404 entity
Predicate notableWork P4 FINISHED
Object Roberta
"Roberta" is a 1935 Hollywood musical film starring Fred Astaire (Frederick Austerlitz) and Ginger Rogers, known for its fashion-world setting and classic Jerome Kern songs.
 E266632 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: Roberta | Statement: [Frederick Austerlitz, notableWork, Roberta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roberta
Context triple: [Frederick Austerlitz, notableWork, Roberta]
  • A. Roberta
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • B. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • C. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • 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: Roberta
Triple: [Frederick Austerlitz, notableWork, Roberta]
Generated description
"Roberta" is a 1935 Hollywood musical film starring Fred Astaire (Frederick Austerlitz) and Ginger Rogers, known for its fashion-world setting and classic Jerome Kern songs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roberta
Target entity description: "Roberta" is a 1935 Hollywood musical film starring Fred Astaire (Frederick Austerlitz) and Ginger Rogers, known for its fashion-world setting and classic Jerome Kern songs.
  • A. Roberta
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • B. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • E. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96f97e08190978b2d873ab88859 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf57b0708190bf4d38c51e02309f completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec495e4e88190a1b9929161aba193 completed March 9, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_69aec570ec88819089a2afc42aec1088 completed March 9, 2026, 1:04 p.m.
Created at: March 6, 2026, 9:42 p.m.