Triple

T8857556
Position Surface form Disambiguated ID Type / Status
Subject Suzy Amis Cameron E210795 entity
Predicate filmAppearance P795 FINISHED
Object Fandango E344176 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: Fandango | Statement: [Suzy Amis Cameron, filmAppearance, Fandango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fandango
Context triple: [Suzy Amis Cameron, filmAppearance, Fandango]
  • A. Amor a la Mexicana
    "Amor a la Mexicana" is a popular Latin pop song and album by Mexican singer Thalía that blends traditional Mexican musical elements with contemporary pop sounds.
  • B. La Bamba chosen
    "La Bamba" is a 1987 rock and roll biographical film about musician Ritchie Valens, featuring a hit title song cover by Los Lobos.
  • C. Fuente de la Fama
    Fuente de la Fama is a celebrated Baroque fountain in San Ildefonso, Spain, renowned for its elaborate sculptural design and association with the royal gardens of La Granja.
  • D. The Book of Life
    The Book of Life is a 2014 animated fantasy film that follows a young man’s journey through the Land of the Remembered and the Land of the Forgotten, blending Mexican folklore with a vibrant visual style.
  • E. Milagro
    Milagro is a city in Ecuador known as an important agricultural and commercial center, particularly for sugarcane and rice production.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e3b62c8190bf779e7e1db767f6 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0a8c0a48190b362685682e13460 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:50 p.m.