Triple

T19453902
Position Surface form Disambiguated ID Type / Status
Subject Hawkins National Laboratory E486685 entity
Predicate laterManagedBy P61456 FINISHED
Object Dr. Owens 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: Dr. Owens | Statement: [Hawkins National Laboratory, laterManagedBy, Dr. Owens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Owens
Context triple: [Hawkins National Laboratory, laterManagedBy, Dr. Owens]
  • A. Dr. Owens chosen
    Dr. Owens is a high-ranking government scientist and administrator involved in the secretive experiments and containment efforts at Hawkins National Laboratory in the Stranger Things universe.
  • B. Dr. Woods
    Dr. Woods was a notable individual significant enough in his community or field to have a house named in his honor.
  • C. Dr. Sam Owens
    Dr. Sam Owens is a fictional medical examiner character portrayed by actress Paula Newsome in the television series "CSI: Vegas."
  • D. Dr. Boyce
    Dr. Boyce is a fictional character in the television miniseries adaptation of Arthur C. Clarke’s science fiction novel "Childhood’s End."
  • E. Dr. Mumford
    Dr. Mumford is the fictional psychologist protagonist of the 1999 comedy-drama film "Mumford," known for his unconventional therapeutic methods in a small town.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c117ac8190a38c01c3191beaea completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.