Triple

T10949387
Position Surface form Disambiguated ID Type / Status
Subject Steven Campbell E258685 entity
Predicate name P16 FINISHED
Object Steven Campbell E258685 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: Steven Campbell | Statement: [Steven Campbell, name, Steven Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Campbell
Context triple: [Steven Campbell, name, Steven Campbell]
  • A. Steven Campbell chosen
    Steven Campbell was a prominent Scottish figurative painter known for his complex, narrative-rich canvases and his role in the resurgence of Scottish art in the 1980s.
  • B. Andrew McAlpine
    Andrew McAlpine is a British production designer and art director known for his distinctive visual work on films such as "Sid and Nancy."
  • C. Ian Campbell
    Ian Campbell was a Los Angeles Police Department officer whose 1963 kidnapping and murder became the basis for Joseph Wambaugh’s true-crime book and film "The Onion Field."
  • D. Andy Scott
    Andy Scott is a Scottish sculptor best known for creating large-scale public artworks, including the iconic equine sculptures known as The Kelpies.
  • E. Alan MacDonald
    Alan MacDonald was a British production designer and art director known for his stylish, visually distinctive work on films such as "Bright Young Things," "The Queen," and "The Best Exotic Marigold Hotel."
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ec7028819084f5ce2035a128e4 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c4a75688190894c83b8964509a6 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.