Triple

T9579157
Position Surface form Disambiguated ID Type / Status
Subject Dr. Christopher Turk E231123 entity
Predicate bestFriend P8712 FINISHED
Object John Dorian E809312 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: John Dorian | Statement: [Dr. Christopher Turk, bestFriend, John Dorian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dorian
Context triple: [Dr. Christopher Turk, bestFriend, John Dorian]
  • A. John Dorian chosen
    John Dorian is the quirky, idealistic young doctor and narrator at the center of the medical comedy series "Scrubs."
  • B. Justin Ripley
    Justin Ripley is a loyal and principled young detective in the British crime drama series "Luther," serving as John Luther’s trusted partner and moral anchor.
  • C. Daniel Osbourne
    Daniel Osbourne is a fictional character from the television series "Buffy the Vampire Slayer," known as the quiet, guitar-playing werewolf and love interest of Willow Rosenberg.
  • D. Simon Krieger
    Simon Krieger is a primary antagonist in the video game "Spider-Man: Miles Morales," depicted as a ruthless executive of the energy corporation Roxxon.
  • E. Dorian Sagan
    Dorian Sagan is an American science writer and essayist known for his works on evolution, complexity, and the philosophy of science, often co-authored with his mother, biologist Lynn Margulis.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aece1081908287e03106de020f completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1821797f88190b427ad1fcfc73757 completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:05 p.m.