Triple

T1942154
Position Surface form Disambiguated ID Type / Status
Subject Rachael MacFarlane E41578 entity
Predicate notableWork P4 FINISHED
Object Codename: Kids Next Door E101329 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: Codename: Kids Next Door | Statement: [Rachael MacFarlane, notableWork, Codename: Kids Next Door]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Codename: Kids Next Door
Context triple: [Rachael MacFarlane, notableWork, Codename: Kids Next Door]
  • A. Codename: Kids Next Door chosen
    Codename: Kids Next Door is an animated television series about a group of child operatives who run a high-tech global organization to fight adult tyranny and childhood injustices.
  • B. Whiz Kids
    The Whiz Kids were the young, upstart Philadelphia Phillies team that captured the National League pennant and reached the 1950 World Series.
  • C. The Powerpuff Girls
    The Powerpuff Girls is an animated television series about three superpowered kindergarten-aged girls who protect their city from villains, blending action, comedy, and a distinctive visual style.
  • D. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • E. Kiddo
    Kiddo is a music producer known for working on the track "Elevation."
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fc98e881909a539c0ebf842d8b completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb7616881908bfc82997538ca08 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.