Triple

T7240979
Position Surface form Disambiguated ID Type / Status
Subject Raphael Saadiq E155352 entity
Predicate notableWork P4 FINISHED
Object The Way I See It E461667 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: The Way I See It | Statement: [Raphael Saadiq, notableWork, The Way I See It]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Way I See It
Context triple: [Raphael Saadiq, notableWork, The Way I See It]
  • A. The Way I See It chosen
    The Way I See It is a retro-soul studio album by American musician Raphael Saadiq that pays homage to classic Motown and 1960s R&B sounds.
  • B. The Way I See It
    "The Way I See It" is a memoir by Patti Davis reflecting on her life as Ronald Reagan’s daughter and her complex family relationships.
  • C. What I See
    "What I See" is a photography book by Brooklyn Beckham showcasing his personal images and visual perspective on his life and surroundings.
  • D. I See You
    "I See You" is the end-credits love theme song from the film *Avatar*, performed by Leona Lewis and composed by James Horner and Simon Franglen.
  • E. The More I See You
    "The More I See You" is a popular romantic song from the 1940s, widely recorded by jazz and pop artists and known for its enduring status as a Great American Songbook standard.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea39230481908401ead83d8666cd completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc4292c881909ca7b140a83ed53d completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.