Triple

T9113312
Position Surface form Disambiguated ID Type / Status
Subject Pip Torrens E218658 entity
Predicate familyName P18 FINISHED
Object Torrens
Torrens is a surname most notably associated with English actor Pip Torrens, known for his roles in film and television.
 E779251 NE FINISHED

How this triple was built (4 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: Torrens | Statement: [Pip Torrens, familyName, Torrens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Torrens
Context triple: [Pip Torrens, familyName, Torrens]
  • A. Throsby
    Throsby is a residential suburb in the Gungahlin district of Canberra, Australian Capital Territory.
  • B. Langdell
    Langdell is a surname most notably associated with Christopher Columbus Langdell, the influential 19th-century dean of Harvard Law School who pioneered the case method of legal education.
  • C. Souter
    Souter is a surname most prominently associated with David H. Souter, a former Associate Justice of the United States Supreme Court.
  • D. Grantley
    Grantley is the given name of Grantley Herbert Adams, a prominent Barbadian and Caribbean political leader and the first Premier of Barbados.
  • E. Calderbank
    Calderbank is a small village in North Lanarkshire, Scotland, historically associated with coal mining and ironworks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Torrens
Triple: [Pip Torrens, familyName, Torrens]
Generated description
Torrens is a surname most notably associated with English actor Pip Torrens, known for his roles in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Torrens
Target entity description: Torrens is a surname most notably associated with English actor Pip Torrens, known for his roles in film and television.
  • A. Throsby
    Throsby is a residential suburb in the Gungahlin district of Canberra, Australian Capital Territory.
  • B. Langdell
    Langdell is a surname most notably associated with Christopher Columbus Langdell, the influential 19th-century dean of Harvard Law School who pioneered the case method of legal education.
  • C. Souter
    Souter is a surname most prominently associated with David H. Souter, a former Associate Justice of the United States Supreme Court.
  • D. Grantley
    Grantley is the given name of Grantley Herbert Adams, a prominent Barbadian and Caribbean political leader and the first Premier of Barbados.
  • E. Calderbank
    Calderbank is a small village in North Lanarkshire, Scotland, historically associated with coal mining and ironworks.
  • F. None of above. chosen

Provenance (5 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84b0a048190964f560f78e27cce completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0305eb6e081908edba0ddab25e209 completed April 3, 2026, 9:25 p.m.
NEDg Description generation batch_69d032eb2e708190b2d265ad7b49d084 completed April 3, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69d0337057048190af062152688599a1 completed April 3, 2026, 9:38 p.m.
Created at: March 30, 2026, 7:16 p.m.