Triple

T4567743
Position Surface form Disambiguated ID Type / Status
Subject The Boston Strangler E121949 entity
Predicate starred P5563 FINISHED
Object Hurd Hatfield E180155 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: Hurd Hatfield | Statement: [The Boston Strangler, starred, Hurd Hatfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hurd Hatfield
Context triple: [The Boston Strangler, starred, Hurd Hatfield]
  • A. Hurd Hatfield chosen
    Hurd Hatfield was an American actor best known for his haunting title role in the 1945 film adaptation of "The Picture of Dorian Gray."
  • B. Charles J. Hatfield
    Charles J. Hatfield was an American physician and public health leader best known as a co-founder and early driving force behind the American Cancer Society.
  • C. Vance Gerry
    Vance Gerry was an American storyboard artist, writer, and designer best known for his influential story work on numerous classic Walt Disney animated films.
  • D. Holland M. Smith
    Holland M. Smith was a prominent U.S. Marine Corps general in World War II, renowned for his leadership of amphibious assaults in the Pacific Theater.
  • E. Don Roberts
    Don Roberts is a software engineer and author known for his contributions to object-oriented design and refactoring, including work on the influential book "Refactoring: Improving the Design of Existing Code."
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd589faccc8190ac0354644099810d completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03391b3481909fd41ac03abe5d1b completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:09 p.m.