Triple

T8963476
Position Surface form Disambiguated ID Type / Status
Subject Robert Gardner E214066 entity
Predicate notableWork P4 FINISHED
Object Deep Hearts E739293 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: Deep Hearts | Statement: [Robert Gardner, notableWork, Deep Hearts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deep Hearts
Context triple: [Robert Gardner, notableWork, Deep Hearts]
  • A. Deep Hearts chosen
    Deep Hearts is a 1981 ethnographic documentary film by Robert Gardner that explores the culture, rituals, and social dynamics of the Bororo Fulani people of Niger.
  • B. Places in the Heart
    Places in the Heart is a 1984 American drama film set in Depression-era Texas, focusing on a widow’s struggle to save her farm and family.
  • C. A Letter from the South
    "A Letter from the South" is an essay by James Baldwin that reflects on race, history, and the Black experience in the American South.
  • D. Light of the South
    Light of the South is the English rendering of the Japanese name given to Singapore during its World War II occupation.
  • E. The Painted Angel
    The Painted Angel is a 1929 silent drama film starring popular 1920s screen actress Billie Dove.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674b06f08190b2d992674a093592 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9512eec8190963aa68108691f7f completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.