Triple

T14120556
Position Surface form Disambiguated ID Type / Status
Subject King Triton E339892 entity
Predicate parentOf P120 FINISHED
Object Alana E284352 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: Alana | Statement: [King Triton, parentOf, Alana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alana
Context triple: [King Triton, parentOf, Alana]
  • A. Alana chosen
    Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
  • B. Elana
    Elana is a Polish football club based in the city of Toruń.
  • C. Annelise
    Annelise is the given name of Anni Albers, the influential German-born textile artist and printmaker associated with the Bauhaus and later American modernism.
  • D. Kayla
    Kayla is a central character in the tech-comedy web series "Hacks," known for her over-the-top personality and chaotic presence in the workplace.
  • E. Alaina
    Alaina is a feminine given name, typically considered a variant of names like Alain or Alan.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de60942a588190beff0058a92f7051 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e04184819081633f9cfc0ccab9 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:22 p.m.