Triple

T18888570
Position Surface form Disambiguated ID Type / Status
Subject Nanny and the Professor E462021 entity
Predicate starring P1507 FINISHED
Object Richard Long NE NERFINISHED

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: Richard Long | Statement: [Nanny and the Professor, starring, Richard Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Long
Context triple: [Nanny and the Professor, starring, Richard Long]
  • A. Richard Long
    Richard Long is a British land artist renowned for his walking-based artworks and minimalist interventions in natural landscapes.
  • B. Richard Long chosen
    Richard Long was an American actor best known for his roles in classic television series of the 1950s and 1960s, including prominent parts in family and Western dramas.
  • C. Andy Goldsworthy
    Andy Goldsworthy is a British sculptor and land artist renowned for his site-specific installations made from natural materials such as stone, ice, leaves, and wood.
  • D. Cecil Balmond
    Cecil Balmond is a Sri Lankan–British designer, engineer, and theorist renowned for his innovative structural collaborations on landmark architectural projects worldwide.
  • E. Martin Boyce
    Martin Boyce is a Scottish contemporary artist known for his atmospheric, sculptural installations that often reference modernist design and architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c478d8c481909291e7c471e5095a completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.