Triple

T22283580
Position Surface form Disambiguated ID Type / Status
Subject Giuliano Gemma E550801 entity
Predicate alsoKnownAs P39 FINISHED
Object Montgomery Wood NE NERFINISHED

How this triple was built (3 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: Montgomery Wood | Statement: [Giuliano Gemma, alsoKnownAs, Montgomery Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgomery Wood
Context triple: [Giuliano Gemma, alsoKnownAs, Montgomery Wood]
  • A. Przemysł Hill
    Przemysł Hill is a historic elevation in the center of Poznań, Poland, known primarily as the site of the city’s medieval royal castle and a key landmark in its old town.
  • B. Franklin Mills
    Franklin Mills is the former name of the city of Kent, Ohio, reflecting its early history as a 19th-century milling and canal town.
  • C. Drayton Bassett
    Drayton Bassett is a small rural village and civil parish in Staffordshire, England, known for its historic church and proximity to the Drayton Manor theme park.
  • D. Montgomery Hyde
    Montgomery Hyde was a British barrister, author, and politician known for his writings on legal history, civil liberties, and notable trials.
  • E. Montgomery Tully
    Montgomery Tully was a British film director known for his work on low-budget crime, thriller, and science fiction films during the mid-20th century.
  • 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: Montgomery Wood
Target entity description: Montgomery Wood is the English-language stage name used by Italian actor Giuliano Gemma, best known for his roles in Spaghetti Western films.
  • A. Przemysł Hill
    Przemysł Hill is a historic elevation in the center of Poznań, Poland, known primarily as the site of the city’s medieval royal castle and a key landmark in its old town.
  • B. Franklin Mills
    Franklin Mills is the former name of the city of Kent, Ohio, reflecting its early history as a 19th-century milling and canal town.
  • C. Drayton Bassett
    Drayton Bassett is a small rural village and civil parish in Staffordshire, England, known for its historic church and proximity to the Drayton Manor theme park.
  • D. Montgomery Hyde
    Montgomery Hyde was a British barrister, author, and politician known for his writings on legal history, civil liberties, and notable trials.
  • E. Montgomery Tully
    Montgomery Tully was a British film director known for his work on low-budget crime, thriller, and science fiction films during the mid-20th century.
  • F. None of above. chosen

Provenance (2 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15605a8448190906a0ab9ffa4260b completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:40 p.m.