Triple

T11948053
Position Surface form Disambiguated ID Type / Status
Subject Alana E284352 entity
Predicate hasVariant P455 FINISHED
Object Alaina E527337 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: Alaina | Statement: [Alana, hasVariant, Alaina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alaina
Context triple: [Alana, hasVariant, Alaina]
  • A. Alaina Johnson chosen
    Alaina Johnson is a former elite collegiate gymnast best known for her standout career with the University of Florida Gators, where she helped lead the team to multiple NCAA championships.
  • B. Analeigh Tipton
    Analeigh Tipton is an American actress and former figure skater and model known for her roles in films such as "Crazy, Stupid, Love" and "Warm Bodies."
  • C. Alana
    Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
  • D. Kianna
    Kianna is a feminine given name, often considered a modern or alternative spelling of names like Kiana or Kiana-derived variants.
  • E. Natalie Lane
    Natalie Lane is a teenage girl character from the 1960s sitcom "The Patty Duke Show," known as Patty Lane’s more serious and studious identical cousin.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90346825c8190ab4482a1fc8eed56 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49cf688448190839f574c85784c98 completed May 1, 2026, 12:30 p.m.
Created at: April 8, 2026, 9:45 p.m.