Triple

T2215631
Position Surface form Disambiguated ID Type / Status
Subject Mr. Bennet (Benjamin Whitrow) E48024 entity
Predicate primaryLocationInSeries P8094 FINISHED
Object Hertfordshire E60268 NE FINISHED

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: Hertfordshire | Statement: [Mr. Bennet (Benjamin Whitrow), primaryLocationInSeries, Hertfordshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hertfordshire
Context triple: [Mr. Bennet (Benjamin Whitrow), primaryLocationInSeries, Hertfordshire]
  • A. Hertfordshire chosen
    Hertfordshire is a county in southern England known for its historic market towns, countryside, and proximity to London.
  • B. Bedfordshire
    Bedfordshire is a ceremonial and non-metropolitan county in the East of England, known for its mix of rural countryside, market towns, and the large town of Luton.
  • C. Buckinghamshire
    Buckinghamshire is a ceremonial and non-metropolitan county in South East England, known for its historic towns, Chiltern Hills countryside, and proximity to London.
  • D. Buckinghamshire and Hertfordshire
    Buckinghamshire and Hertfordshire are neighboring ceremonial and historic counties in southeastern England, situated northwest and north of London, respectively.
  • E. Northamptonshire
    Northamptonshire is a historic, landlocked county in the East Midlands of England known for its market towns, rural landscapes, and long association with the footwear and leather industries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLocationInSeries
Context triple: [Mr. Bennet (Benjamin Whitrow), primaryLocationInSeries, Hertfordshire]
  • A. seriesLocation
    Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
  • B. firstLocation chosen
    Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
  • C. primaryActor
    Indicates that the referenced entity is the main participant or most central party responsible for the action or event in the relationship.
  • D. primaryTheater
    Indicates that a particular location or region is the main setting or principal area where an event, activity, or operation takes place.
  • E. firstScreeningLocation
    Indicates the location where something (such as a person, item, or case) is initially screened or evaluated for the first time.
  • F. None of above.

Provenance (4 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbff11574819091d1b50d637ae767 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f6fe04c8190bffabb9225ef6c2a completed March 20, 2026, 4:01 p.m.
PD Predicate disambiguation batch_69abbdaa26d48190860c33fd464c4845 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:46 p.m.