Triple

T8336039
Position Surface form Disambiguated ID Type / Status
Subject Steven Mackintosh E195787 entity
Predicate notableWork P4 FINISHED
Object Care E247525 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: Care | Statement: [Steven Mackintosh, notableWork, Care]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Care
Context triple: [Steven Mackintosh, notableWork, Care]
  • A. Care chosen
    Care is a British television drama best known for its powerful portrayal of a mother's struggle with the social care system, featuring a notable performance by Alison Steadman.
  • B. care (Sorge)
    Care (Sorge) is Heidegger’s fundamental existential structure of Dasein, denoting its being-in-the-world as a concerned, temporally stretched involvement with itself, others, and its possibilities.
  • C. Care Talk
    Care Talk is an economics-focused blog by Nancy Folbre that explores issues of care work, gender, and social policy.
  • D. Someone Who Cares
    "Someone Who Cares" is a song featured on Kenny Rogers & The First Edition’s 1970 album *Tell It All Brother*.
  • E. Care Everywhere
    Care Everywhere is Epic Systems’ interoperability platform that enables secure exchange of patient health information across different healthcare organizations and electronic health record systems.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd3fc80819097b326119107ad4d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95d9b92c8190b1eb0e64aa7ea59e completed April 1, 2026, 10:02 p.m.
Created at: March 30, 2026, 5:57 p.m.