Triple

T22065614
Position Surface form Disambiguated ID Type / Status
Subject Ras Baraka E545258 entity
Predicate notableWork P4 FINISHED
Object What We Want — 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: What We Want | Statement: [Ras Baraka, notableWork, What We Want]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: What We Want
Context triple: [Ras Baraka, notableWork, What We Want]
  • A. What We Want chosen
    "What We Want" is a notable work by American poet and politician Ras Baraka that reflects his socially conscious, politically engaged literary style.
  • B. Because We Want To
    "Because We Want To" is a 1998 pop song that served as English singer Billie Piper's breakout hit, reaching number one on the UK Singles Chart.
  • C. What They Wanted, What They Got
    What They Wanted, What They Got is a comedic screenplay by writer Mark O’Keefe, best known for his work on films like Bruce Almighty.
  • D. What More Do You Want
    "What More Do You Want" is a song featured on the album *Some Lessons Learned* by Kristin Chenoweth.
  • E. There We Are
    "There We Are" is a song by American singer-songwriter JT, likely featured on one of his music releases.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12883d2108190a6127783f8f635fc completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:27 p.m.