Triple

T15497963
Position Surface form Disambiguated ID Type / Status
Subject Lesley Sharp E378870 entity
Predicate notableWork P4 FINISHED
Object Afterlife E861450 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: Afterlife | Statement: [Lesley Sharp, notableWork, Afterlife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afterlife
Context triple: [Lesley Sharp, notableWork, Afterlife]
  • A. Afterlife
    Afterlife is a contemporary novel by Julia Alvarez that explores themes of grief, identity, and immigration through the story of a recently widowed Dominican-American professor.
  • B. Afterlife
    "Afterlife" is a television film featuring Michael Learned that explores themes of death and what may lie beyond it.
  • C. Afterlife
    "Afterlife" is a pop-infused indie song by American singer-songwriter Ingrid Michaelson, known for its uplifting, anthemic sound and themes of resilience and living fully.
  • D. Afterlife chosen
    Afterlife is a film project featuring British actor Andrew James Clutterbuck, better known by his stage name Andrew Lincoln.
  • E. Afterlife
    The afterlife is the concept of continued existence of the soul or consciousness in a realm beyond physical death, often involving judgment, reward, or punishment.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3665769c8190be1af51a82a5e75f completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:53 a.m.