Triple

T14699045
Position Surface form Disambiguated ID Type / Status
Subject Caroline Catz E345241 entity
Predicate familyName P18 FINISHED
Object Caplan E708548 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: Caplan | Statement: [Caroline Catz, familyName, Caplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caplan
Context triple: [Caroline Catz, familyName, Caplan]
  • A. Caplan chosen
    Caplan is a surname most notably associated with American actress Lizzy Caplan, known for her roles in film and television.
  • B. Parnes
    Parnes is a mountain in Greece traditionally associated with the ancient Greek personifications of mountains known as the Ourea.
  • C. Ransohoff
    Ransohoff is a surname most notably associated with American film and television producer Martin Ransohoff.
  • D. Blumberg
    Blumberg is a German-origin surname borne by various notable individuals across fields such as science, arts, and public life.
  • E. Cochrane-Johnstone
    Cochrane-Johnstone is a British surname historically associated with the naval officer and politician Andrew Cochrane-Johnstone and the wider Cochrane family.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb604f88081908a677175045496d0 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde19040e0819099159ed2609c6965 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.