Triple

T19521159
Position Surface form Disambiguated ID Type / Status
Subject The Loud House Movie E488403 entity
Predicate followsCharacter P10688 FINISHED
Object Lincoln Loud NE NERFINISHED

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: Lincoln Loud | Statement: [The Loud House Movie, followsCharacter, Lincoln Loud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln Loud
Context triple: [The Loud House Movie, followsCharacter, Lincoln Loud]
  • A. Lincoln Loud chosen
    Lincoln Loud is the white-haired, middle child protagonist of the animated series "The Loud House," known for navigating life in a chaotic household with ten sisters.
  • B. Honest Abe
    Honest Abe is a widely known nickname for Abraham Lincoln, emphasizing his reputation for integrity and truthfulness.
  • C. Lincoln Lyons
    Lincoln Lyons is the child of Rosie Lyons, a character in the British television drama "Years and Years."
  • D. Lincoln Maazel
    Lincoln Maazel was an American actor best known for his lead role in George A. Romero’s 1977 psychological horror film "Martin."
  • E. Lincoln Child
    Lincoln Child is an American author best known for his techno-thriller and horror novels, often co-written with Douglas Preston, featuring science, archaeology, and suspense.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635a0b37c8190b70b7427c2e85f59 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.