Triple

T11263888
Position Surface form Disambiguated ID Type / Status
Subject Roberta E266632 entity
Predicate title P38 FINISHED
Object Roberta E28738 NE FINISHED

How this triple was built (2 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: [Roberta, title, Roberta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberta
Context triple: [Roberta, title, Roberta]
  • A. Roberta chosen
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • B. 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.
  • C. Joanne
    Joanne is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
  • D. Roberta Martin
    Roberta Martin is a central childhood friend in the coming-of-age film "Now and Then," known for her tomboyish personality and strong, loyal nature within the group.
  • E. Proberta
    Proberta is a small unincorporated community located in Tehama County in Northern California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94d56048190bf808e1bc2188714 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccc7fdc48190a84b8b584f67b464 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.