Triple

T11983455
Position Surface form Disambiguated ID Type / Status
Subject Disney Princess Palace Pets E285214 entity
Predicate hasNotableOwner P17607 FINISHED
Object Merida E243712 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: Merida | Statement: [Disney Princess Palace Pets, hasNotableOwner, Merida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merida
Context triple: [Disney Princess Palace Pets, hasNotableOwner, Merida]
  • A. Merida chosen
    Merida is a headstrong Scottish princess and skilled archer from Disney-Pixar's animated film "Brave," known for defying tradition to control her own destiny.
  • B. Mérida
    Mérida is the capital and largest city of the Mexican state of Yucatán, known for its rich Mayan and colonial heritage and its role as a cultural and economic hub of the Yucatán Peninsula.
  • C. Mérida
    Mérida is a historic city in western Spain renowned for its exceptionally well-preserved Roman archaeological sites, including a theater, amphitheater, and bridge.
  • D. Mérida
    Mérida is a city in the Venezuelan Andes known for its mountainous surroundings, cool climate, and role as a gateway to the country’s highest peaks.
  • E. Zamora
    Zamora is a city in the Mexican state of Michoacán known for its agricultural production, colonial architecture, and religious landmarks such as the Cathedral of Our Lady of Guadalupe.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903973c848190aac871d6dfecc74b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472286edc8190ac72d7dd2b646c91 completed May 1, 2026, 9:28 a.m.
Created at: April 8, 2026, 9:46 p.m.