Triple

T5320526
Position Surface form Disambiguated ID Type / Status
Subject Want One E121660 entity
Predicate hasPart P35 FINISHED
Object Beautiful Child E202306 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: Beautiful Child | Statement: [Want One, hasPart, Beautiful Child]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beautiful Child
Context triple: [Want One, hasPart, Beautiful Child]
  • A. A Beautiful Child chosen
    "A Beautiful Child" is a short story by Truman Capote, included in his collection "Music for Chameleons," that blends his signature lyrical prose with dark, psychologically nuanced themes.
  • B. Love Child
    "Love Child" is a memoir by American actress Mackenzie Phillips in which she recounts her turbulent childhood, struggles with addiction, and complex family relationships.
  • C. Sweet Children
    Sweet Children was the original name of the American punk rock band Green Day during their early years in the late 1980s.
  • D. Little Child
    "Little Child" is an upbeat rock and roll song by the Beatles, sung primarily by John Lennon and featured on their 1963 album "With the Beatles."
  • E. This Child Will Be Great
    "This Child Will Be Great" is the memoir of Liberian president and Nobel Peace Prize laureate Ellen Johnson Sirleaf, recounting her life, political struggles, and the history of modern Liberia.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8574c4b48190a0513ce59eedb564 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18a117d48190a7fb45be0b002f4e completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 1:59 p.m.