Triple

T5098665
Position Surface form Disambiguated ID Type / Status
Subject Camille E114928 entity
Predicate hasVariant P455 FINISHED
Object Camilo E252465 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: Camilo | Statement: [Camille, hasVariant, Camilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camilo
Context triple: [Camille, hasVariant, Camilo]
  • A. Camilo chosen
    Camilo is a masculine given name of Spanish origin, notably borne by Cuban revolutionary leader Camilo Cienfuegos.
  • B. Camilo Madrigal
    Camilo Madrigal is a shape-shifting teenage member of the magical Madrigal family in Disney’s animated film "Encanto," known for his playful personality and ability to transform into other people.
  • C. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • D. Camilo Escalona
    Camilo Escalona is a Chilean politician and long-time leader of the Socialist Party who has played a prominent role in the country’s post-dictatorship democratic politics.
  • E. Gerardo
    Gerardo is a masculine given name of Germanic origin, commonly used in Spanish and Italian-speaking countries.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7567d21081909227ed8f08b74c71 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8529ec8190bb1e97eb1044c899 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.