Triple

T16108230
Position Surface form Disambiguated ID Type / Status
Subject Peter Benton E390797 entity
Predicate colleagueOf P398 FINISHED
Object Mark Greene E385760 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: Mark Greene | Statement: [Peter Benton, colleagueOf, Mark Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Greene
Context triple: [Peter Benton, colleagueOf, Mark Greene]
  • A. Mark Greene chosen
    Mark Greene is a central fictional emergency physician and one of the original main characters on the television series "ER."
  • B. Jeff Greene
    Jeff Greene is a fictional character on the HBO comedy series "Curb Your Enthusiasm," known as Larry David’s affable but often morally flexible manager and best friend.
  • C. Steven Greener
    Steven Greener is an American film and television producer and entertainment executive known for his work on popular TV comedies and for managing high-profile talent.
  • D. Jeffrey Lynn Green
    Jeffrey Lynn Green is an American former professional basketball player and current NBA forward known for his versatility and long career with multiple teams.
  • E. Chris Greer
    Chris Greer is a relatively obscure individual whose primary distinguishing feature is sharing the surname Greer, with no widely recognized public profile or achievements.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20165aa9c81908c5358cca2b0d0fe completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba4479c81909f7d43e33f228f7e completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.