Triple

T18330465
Position Surface form Disambiguated ID Type / Status
Subject Alyssa E439124 entity
Predicate relatedTo P37 FINISHED
Object Elissa NE NERFINISHED

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: Elissa | Statement: [Alyssa, relatedTo, Elissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elissa
Context triple: [Alyssa, relatedTo, Elissa]
  • A. Elissa
    Elissa, also known as Dido, is the legendary Phoenician princess who founded the ancient city of Carthage and became its first queen.
  • B. Elissa Landi
    Elissa Landi was an Italian-born British actress of the 1920s and 1930s, known for her sophisticated screen presence in Hollywood historical and romantic dramas.
  • C. Elissa Leonard
    Elissa Leonard is an American filmmaker and producer known for her work in documentary and independent film, as well as for being married to Federal Reserve Chair Jerome H. Powell.
  • D. Elissa Bello
    Elissa Bello is a musician best known for her early involvement as a drummer with the pioneering all-female rock band The Go-Go’s.
  • E. Jana Amr Diab
    Jana Amr Diab is the daughter of famed Egyptian singer Amr Diab and has gained public attention through her social media presence and occasional appearances with her father.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ec900808190bc4468270e0957c1 completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.