Triple

T9550761
Position Surface form Disambiguated ID Type / Status
Subject Charlotte E230414 entity
Predicate hasShortForm P43 FINISHED
Object Lottie E805398 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: Lottie | Statement: [Charlotte, hasShortForm, Lottie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lottie
Context triple: [Charlotte, hasShortForm, Lottie]
  • A. Lottie chosen
    Lottie is a common diminutive given name, typically used as a nickname for Charlotte.
  • B. Voila
    "Voila" is a French-language album by American singer Belinda Carlisle that features her interpretations of classic French pop and chanson songs.
  • C. Loom
    Loom is a 1990 fantasy point-and-click adventure game by Lucasfilm Games, notable for its unique musical spellcasting interface and story-driven design.
  • D. Lottie and Lisa
    Lottie and Lisa is a 1949 German children's novel by Erich Kästner about identical twin girls separated at birth who meet at a summer camp and switch places to reunite their divorced parents.
  • E. FlyLo
    FlyLo is the stage name of Flying Lotus, an experimental electronic music producer and DJ known for his genre-blending sound and influential work in contemporary beat music.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991df7308190a56d95f195627513 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1528068a481908d5c8037b4591db5 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:02 p.m.