Triple

T10016314
Position Surface form Disambiguated ID Type / Status
Subject Napoléon Jérôme Bonaparte E199504 entity
Predicate alsoKnownAs P39 FINISHED
Object Plon-Plon E187037 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: Plon-Plon | Statement: [Napoléon Jérôme Bonaparte, alsoKnownAs, Plon-Plon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plon-Plon
Context triple: [Napoléon Jérôme Bonaparte, alsoKnownAs, Plon-Plon]
  • A. Plon-Plon chosen
    Plon-Plon was the popular nickname of Prince Napoléon-Jérôme Bonaparte, a 19th-century French imperial prince and cousin of Emperor Napoleon III.
  • B. Oumpah-pah
    Oumpah-pah is a French comic series about a brave Native American warrior, created by the renowned duo René Goscinny and Albert Uderzo before their work on Asterix.
  • C. Budongbudong
    Budongbudong is an Austronesian language spoken by a small community in Sulawesi, Indonesia.
  • D. Gumi Gaayo
    Gumi Gaayo is a traditional Oromo assembly that serves as a key legislative and judicial institution within the Gadaa system, where major laws and social norms are debated and decided.
  • E. Pipikoro
    Pipikoro is an Austronesian language spoken in Central Sulawesi, Indonesia, known locally as an alternate name for the Uma language.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4ad3348190bae03cd37c787674 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a99971081908397f06c0ce913d0 completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:53 p.m.