Triple

T14958176
Position Surface form Disambiguated ID Type / Status
Subject Maybe (song) E372987 entity
Predicate sungBy P14884 FINISHED
Object Quvenzhané Wallis E859961 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: Quvenzhané Wallis | Statement: [Maybe (song), sungBy, Quvenzhané Wallis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quvenzhané Wallis
Context triple: [Maybe (song), sungBy, Quvenzhané Wallis]
  • A. Quvenzhané Wallis chosen
    Quvenzhané Wallis is an American actress and author who rose to prominence as the youngest-ever Best Actress Oscar nominee for her lead role in the film "Beasts of the Southern Wild."
  • B. Sianoa Smit-McPhee
    Sianoa Smit-McPhee is an Australian actress and singer best known for her roles in television series such as "As the Bell Rings" and "Hung."
  • C. Naomi Ackie
    Naomi Ackie is a British actress known for her acclaimed performances in film, television, and theatre, including roles in productions such as "Lady Macbeth" and "Star Wars: The Rise of Skywalker."
  • D. Annabelle Wallis
    Annabelle Wallis is an English actress known for her roles in television series like Peaky Blinders and films such as Annabelle and The Mummy.
  • E. Brianne Tju
    Brianne Tju is an American actress known for her roles in teen and horror television series and films, including the thriller "47 Meters Down: Uncaged."
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cd85bc81909040b7ff78f62554 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9e74fc8190bdd10a25c39829f3 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:40 a.m.