Triple

T9059675
Position Surface form Disambiguated ID Type / Status
Subject Reflektor E217088 entity
Predicate hasPart P35 FINISHED
Object Afterlife E703483 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: [Reflektor, hasPart, Afterlife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afterlife
Context triple: [Reflektor, hasPart, Afterlife]
  • A. Afterlife
    "Afterlife" is a British television drama series starring Andrew Lincoln as a university lecturer who becomes entangled with a troubled medium claiming to communicate with the dead.
  • B. 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.
  • C. Afterlife
    "Afterlife" is a television film featuring Michael Learned that explores themes of death and what may lie beyond it.
  • D. Afterlife chosen
    "Afterlife" is a song by the progressive metal band Dream Theater from their debut studio album, *When Dream and Day Unite*.
  • E. After Life
    After Life is a dark comedy-drama television series created by and starring Ricky Gervais, following a grieving widower who copes with his loss through blunt, often cruel honesty.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7eca6d8c8190b1a11a60d6649f78 completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebeceab88190b1f4bc0bc6a4c389 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.