Triple

T11833466
Position Surface form Disambiguated ID Type / Status
Subject Shipman, Virginia E281454 entity
Predicate hasName P744 FINISHED
Object Shipman E294660 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: Shipman | Statement: [Shipman, Virginia, hasName, Shipman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shipman
Context triple: [Shipman, Virginia, hasName, Shipman]
  • A. Shipman chosen
    Shipman is a surname most infamously associated with Harold Shipman, the English general practitioner who became one of history’s most prolific serial killers.
  • B. Scudder
    Scudder is a family surname that may refer to various individuals, including the fictional Mrs. Scudder and other real or literary figures bearing that name.
  • C. Hooperman
    Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
  • D. Guardbridge
    Guardbridge is a small Scottish village in Fife, situated near the River Eden and known historically for its paper mill and as a gateway to St Andrews.
  • E. Sparkman
    Sparkman is the surname associated with the Canadian character actor Ned Sparks, known for his trademark deadpan expression and sarcastic delivery in early 20th-century films.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62e7e408190998bebe346c82e89 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16753f4f88190940e53312aff4333 completed April 29, 2026, 2:05 a.m.
Created at: April 8, 2026, 9:43 p.m.