Triple

T17365969
Position Surface form Disambiguated ID Type / Status
Subject All Nerve E422189 entity
Predicate recordedAtStudio P8088 FINISHED
Object Candyland NE NERFINISHED

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: Candyland | Statement: [All Nerve, recordedAtStudio, Candyland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Candyland
Context triple: [All Nerve, recordedAtStudio, Candyland]
  • A. Candyland chosen
    Candyland is a recording studio known for hosting sessions by alternative rock acts such as The Breeders.
  • B. Candy
    "Candy" is a true-crime drama miniseries centered on Texas housewife Candy Montgomery, who was accused of a brutal axe murder in 1980.
  • C. Candy
    "Candy" is a popular traditional pop song closely associated with American singer Jo Stafford and her mid-20th-century vocal style.
  • D. Candy
    Candy is one of the reckless, party-obsessed college girls at the center of the crime drama film "Spring Breakers," portrayed by Vanessa Hudgens.
  • E. Candy
    Candy is a 2006 Australian romantic drama film about a destructive heroin-fueled relationship, starring Heath Ledger and Abbie Cornish and based on Luke Davies' semi-autobiographical novel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a50c9ec8190b518fdf80808af53 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.