Triple

T11145046
Position Surface form Disambiguated ID Type / Status
Subject The Lovely Bones E263647 entity
Predicate character P662 FINISHED
Object Abigail Salmon E854868 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: Abigail Salmon | Statement: [The Lovely Bones, character, Abigail Salmon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abigail Salmon
Context triple: [The Lovely Bones, character, Abigail Salmon]
  • A. Abigail Salmon chosen
    Abigail Salmon is the grieving mother of murdered teenager Susie Salmon in the film "The Lovely Bones," whose struggle to cope with her loss deeply affects her family.
  • B. Abigail Hopkins
    Abigail Hopkins is a British singer-songwriter and actress, known both for her own creative work and as the daughter of acclaimed actor Sir Anthony Hopkins.
  • C. Abigail Kendall
    Abigail Kendall is the daughter of Nobel Prize–winning American physicist Henry Way Kendall.
  • D. Abigail Falbury
    Abigail Falbury is a fictional character portrayed by actress Gloria DeHaven, likely appearing in a mid-20th-century film or television production.
  • E. Abigail Johnson
    Abigail Johnson is an American billionaire businesswoman who serves as the CEO of Fidelity Investments, one of the largest asset management firms in the world.
  • 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_69e4ace2228c8190936757f5b1eaa1eb completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:28 p.m.