Triple

T11145003
Position Surface form Disambiguated ID Type / Status
Subject The Lovely Bones E263647 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Alice Sebold E850917 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: Alice Sebold | Statement: [The Lovely Bones, authorOfSourceWork, Alice Sebold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alice Sebold
Context triple: [The Lovely Bones, authorOfSourceWork, Alice Sebold]
  • A. Alice Sebold chosen
    Alice Sebold is an American author best known for her novels "The Lovely Bones" and "The Almost Moon," as well as her memoir "Lucky."
  • B. Dina Meyer
    Dina Meyer is an American actress best known for her roles in science fiction and horror films and television series, including the Saw franchise and Birds of Prey.
  • C. Gillian Flynn
    Gillian Flynn is an American author and screenwriter best known for her dark psychological thrillers such as "Gone Girl," many of which have been adapted for film and television.
  • D. Laura Lippman
    Laura Lippman is an American author best known for her award-winning crime and mystery novels, particularly the Tess Monaghan series set in Baltimore.
  • E. Freada Kapor Klein
    Freada Kapor Klein is an American entrepreneur, activist, and philanthropist known for her work advancing diversity, equity, and inclusion in the tech industry and co-founding the Kapor Center.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8634d5481909b114d30a542ea3f completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4421d35f48190a5905fbab39f4015 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.