Triple

T13563954
Position Surface form Disambiguated ID Type / Status
Subject Christian Stovitz E323984 entity
Predicate basedOnWork P7125 FINISHED
Object Emma E326305 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: Emma | Statement: [Christian Stovitz, basedOnWork, Emma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma
Context triple: [Christian Stovitz, basedOnWork, Emma]
  • A. Emma
    Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
  • B. Emma chosen
    "Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
  • C. Emma
    Emma is a central character in Sam Shepard’s play "Curse of the Starving Class," portrayed as a rebellious and sharp-witted teenage girl struggling against her dysfunctional family and bleak circumstances.
  • D. Emily
    Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
  • E. Emily
    Emily Warren Roebling was a pioneering 19th-century American engineer best known for her crucial role in overseeing the completion of the Brooklyn Bridge.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d91e35881909a7184be0ad70c14 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.