Triple

T7753830
Position Surface form Disambiguated ID Type / Status
Subject The Dakota E175838 entity
Predicate hasNotableResident P1092 FINISHED
Object Harlan Coben E663492 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: Harlan Coben | Statement: [The Dakota, hasNotableResident, Harlan Coben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlan Coben
Context triple: [The Dakota, hasNotableResident, Harlan Coben]
  • A. Harlan Coben chosen
    Harlan Coben is an American mystery and thriller novelist known for his twist-filled plots and bestselling standalone and series crime novels.
  • B. Jeff Lindsay
    Jeff Lindsay is an American novelist best known for creating the character Dexter Morgan in the crime thriller series that inspired the television show "Dexter."
  • C. Chris Bohjalian
    Chris Bohjalian is an American novelist known for his bestselling psychological and literary thrillers, several of which have been adapted for film and television.
  • D. Nathan Barr
    Nathan Barr is an American film and television composer known for his atmospheric scores on projects ranging from horror films to acclaimed series like True Blood and The Americans.
  • E. James Patterson
    James Patterson is a prolific American author best known for his numerous bestselling thriller and mystery novels, including the Alex Cross and Women's Murder Club series.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d851d4819091e9117d3f34cb9a completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be5a649c81909c94d629348b34fc completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:08 p.m.