Triple

T5414665
Position Surface form Disambiguated ID Type / Status
Subject Elissa E121100 entity
Predicate alsoKnownAs P39 FINISHED
Object Alyssa E439124 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: Alyssa | Statement: [Elissa, alsoKnownAs, Alyssa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alyssa
Context triple: [Elissa, alsoKnownAs, Alyssa]
  • A. Alyssa chosen
    Alyssa is a feminine given name that gained widespread popularity in the late 20th century, partly due to its use by American actress Alyssa Milano.
  • B. Allison
    Allison is a common English-language surname of Scottish and Irish origin, often derived from "son of Alice" or "son of Alan."
  • C. Ashley
    Ashley is a character featured in the animated children’s series "¡Dos!"
  • D. Ashley
    Ashley is a given name commonly used in English-speaking countries for both males and females.
  • E. Ashley
    Ashley is a small village and civil parish located within the county of Suffolk in eastern England.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87bcace08190932fe85e4b4aeffc completed March 20, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aa743008190840ddcea08d67a66 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.