Triple

T6556922
Position Surface form Disambiguated ID Type / Status
Subject How to Love E152471 entity
Predicate producer P490 FINISHED
Object Detail E245935 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: Detail | Statement: [How to Love, producer, Detail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Detail
Context triple: [How to Love, producer, Detail]
  • A. Detail chosen
    Detail is an American record producer and songwriter known for crafting hit R&B and hip-hop tracks for major artists such as Beyoncé and Lil Wayne.
  • B. Extra
    Extra is a popular sugar-free chewing gum brand produced by the Wrigley Company, known for its long-lasting flavor and wide variety of mint and fruit options.
  • C. Dim
    Dim is the large but gentle rhinoceros beetle who performs as a circus "strongman" in Pixar's animated film *A Bug's Life*.
  • D. DED
    DED is the commonly used abbreviation for the ASME Design Engineering Division, a professional group within ASME focused on advancing the field of mechanical design engineering.
  • E. Delicacy
    Delicacy is a 2011 French romantic comedy-drama film starring Audrey Tautou as a young widow navigating grief and an unexpected new romance.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1eb0888190a67b850ac2bca79c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb862e308190af1028c76484a1ea completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:52 p.m.