Triple

T14636824
Position Surface form Disambiguated ID Type / Status
Subject Sweet Home men E343627 entity
Predicate describedIn P519 FINISHED
Object "Beloved" Part Three E11808 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: "Beloved" Part Three | Statement: [Sweet Home men, describedIn, "Beloved" Part Three]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Beloved" Part Three
Context triple: [Sweet Home men, describedIn, "Beloved" Part Three]
  • A. Beloved chosen
    "Beloved" is a critically acclaimed novel by Toni Morrison that explores the haunting legacy of slavery through the story of a formerly enslaved woman and her family.
  • B. Beloved
    Beloved is a 1998 psychological horror drama film, based on Toni Morrison’s novel, in which Thandiwe Newton plays the mysterious, ghostly young woman who upends a former slave’s fragile new life.
  • C. Sethe
    Sethe is the formerly enslaved protagonist of Toni Morrison's novel "Beloved," haunted by the trauma of her past and the ghost of the daughter she killed.
  • D. Sula
    Sula is a 1973 novel by American author Toni Morrison that explores Black female friendship, community, and identity in a small Ohio town.
  • E. Sula
    Sula is a coastal municipality in Møre og Romsdal county, Norway, known for its fishing industry, maritime heritage, and scenic island landscapes.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aca6448190adf1042dfbfef716 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16e85488190b0dcc2ccd2f5df4d completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:26 a.m.