Triple

T17547527
Position Surface form Disambiguated ID Type / Status
Subject L. B. Jeffries E427366 entity
Predicate hasNeighborSuspect P91911 FINISHED
Object Lars Thorwald NE NERFINISHED

How this triple was built (4 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: Lars Thorwald | Statement: [L. B. Jeffries, hasNeighborSuspect, Lars Thorwald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lars Thorwald
Context triple: [L. B. Jeffries, hasNeighborSuspect, Lars Thorwald]
  • A. Al Hansen
    Al Hansen was an American Fluxus artist and performance pioneer known for his experimental "Happenings" and collage works that challenged traditional boundaries between art and everyday life.
  • B. Jørgen
    Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
  • C. Hjalmar Christensen
    Hjalmar Christensen was a Norwegian writer, literary critic, and professor known for his contributions to early 20th-century Norwegian literature and cultural debate.
  • D. Henrik Christensen
    Henrik Christensen is a prominent robotics researcher and academic known for his influential contributions to computer vision, autonomous systems, and robotics education.
  • E. Kurt Ludvigsen
    Kurt Ludvigsen is a cinematographer best known for his work on the romantic drama film "Autumn in New York."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lars Thorwald
Target entity description: Lars Thorwald is the suspicious salesman and primary murder suspect observed across the courtyard in Alfred Hitchcock’s film "Rear Window."
  • A. Al Hansen
    Al Hansen was an American Fluxus artist and performance pioneer known for his experimental "Happenings" and collage works that challenged traditional boundaries between art and everyday life.
  • B. Jørgen
    Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
  • C. Hjalmar Christensen
    Hjalmar Christensen was a Norwegian writer, literary critic, and professor known for his contributions to early 20th-century Norwegian literature and cultural debate.
  • D. Henrik Christensen
    Henrik Christensen is a prominent robotics researcher and academic known for his influential contributions to computer vision, autonomous systems, and robotics education.
  • E. Kurt Ludvigsen
    Kurt Ludvigsen is a cinematographer best known for his work on the romantic drama film "Autumn in New York."
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNeighborSuspect
Context triple: [L. B. Jeffries, hasNeighborSuspect, Lars Thorwald]
  • A. hasNeighboringSite
    Indicates that one site is located adjacent to or directly next to another site.
  • B. isSuspiciousOf chosen
    Indicates that one entity believes another entity or situation may be untrustworthy, harmful, or involved in wrongdoing.
  • C. hasNeighborRelationshipWith
    Indicates that one entity is located adjacent to or directly next to another entity, sharing a neighbor relationship.
  • D. hasNorthNeighbor
    Indicates that one entity is located directly to the north of another entity.
  • E. hasAdjacentStationOnAC
    Indicates that one station is directly next to another station along the AC line or route.
  • F. None of above.

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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454626cfc8190a2602ba4934b8e6d completed April 19, 2026, 4:04 a.m.
PD Predicate disambiguation batch_69e3b4fb39948190a82a597c5bac5c57 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:49 a.m.