Triple

T20446403
Position Surface form Disambiguated ID Type / Status
Subject Alola E501527 entity
Predicate hasTrialCaptain P981 FINISHED
Object Lana
Lana is a Water-type Trial Captain from the Alola region in the Pokémon series, known for overseeing the trial at Brooklet Hill.
 E1433698 NE FINISHED

How this triple was built (4 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: Lana | Statement: [Alola, hasTrialCaptain, Lana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lana
Context triple: [Alola, hasTrialCaptain, Lana]
  • A. Lana
    Lana is a filmmaker best known as one of the Wachowski sisters, the co-creators of The Matrix film series.
  • B. Lana
    Lana is a river in Albania that flows through the capital city of Tirana before joining the Tirana River.
  • C. Lana
    Lana is the ISO 15924 four-letter code used to represent the Tai Tham script in international standards.
  • D. Lana
    Lana is a professional wrestler and television personality best known for her time in WWE, where she appeared prominently as a manager and in-ring performer.
  • E. Lana
    Lana is the given name of actress Lana Condor, best known for starring in the "To All the Boys I've Loved Before" film series.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lana
Triple: [Alola, hasTrialCaptain, Lana]
Generated description
Lana is a Water-type Trial Captain from the Alola region in the Pokémon series, known for overseeing the trial at Brooklet Hill.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lana
Target entity description: Lana is a Water-type Trial Captain from the Alola region in the Pokémon series, known for overseeing the trial at Brooklet Hill.
  • A. Lana
    Lana is a cheerful, blue-haired sorceress and original playable character introduced in the game Hyrule Warriors.
  • B. Lana
    Lana is a professional wrestler and television personality best known for her time in WWE, where she appeared prominently as a manager and in-ring performer.
  • C. Lana
    Lana is a filmmaker best known as one of the Wachowski sisters, the co-creators of The Matrix film series.
  • D. Lana
    Lana is the given name of actress Lana Condor, best known for starring in the "To All the Boys I've Loved Before" film series.
  • E. Lana
    Lana is a river in Albania that flows through the capital city of Tirana before joining the Tirana River.
  • F. None of above. chosen

Provenance (5 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfd84c08190a3f971f1cd279715 completed April 20, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893a559288190adbc84a3cdecc44d completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a08945284f48190a62a2ef25553d985 completed May 16, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0894f3be54819091e3305ee70c25f5 completed May 16, 2026, 4:01 p.m.
Created at: April 16, 2026, 11:32 a.m.