Triple

T9111109
Position Surface form Disambiguated ID Type / Status
Subject H. T. Lowe-Porter E218601 entity
Predicate familyName P18 FINISHED
Object Lowe-Porter
Lowe-Porter is a surname most notably associated with H. T. Lowe-Porter, the English translator renowned for bringing Thomas Mann’s works into English.
 E779045 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: Lowe-Porter | Statement: [H. T. Lowe-Porter, familyName, Lowe-Porter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lowe-Porter
Context triple: [H. T. Lowe-Porter, familyName, Lowe-Porter]
  • A. Lowe
    Lowe is a common English surname of Anglo-Saxon origin, often derived from the Old English word for a small hill or burial mound.
  • B. Laird-Clowes
    Laird-Clowes is the hyphenated surname of British musician and composer Nick Laird-Clowes, best known as the frontman of the band The Dream Academy.
  • C. Porter
    Porter is a common English occupational surname historically given to gatekeepers or doorkeepers.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • 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: Lowe-Porter
Triple: [H. T. Lowe-Porter, familyName, Lowe-Porter]
Generated description
Lowe-Porter is a surname most notably associated with H. T. Lowe-Porter, the English translator renowned for bringing Thomas Mann’s works into English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lowe-Porter
Target entity description: Lowe-Porter is a surname most notably associated with H. T. Lowe-Porter, the English translator renowned for bringing Thomas Mann’s works into English.
  • A. Lowe
    Lowe is a common English surname of Anglo-Saxon origin, often derived from the Old English word for a small hill or burial mound.
  • B. Laird-Clowes
    Laird-Clowes is the hyphenated surname of British musician and composer Nick Laird-Clowes, best known as the frontman of the band The Dream Academy.
  • C. Porter
    Porter is a common English occupational surname historically given to gatekeepers or doorkeepers.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • 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_69cca847102881908f9d86ce9883fb1a completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030467b188190a6d99bf2fc65207d completed April 3, 2026, 9:25 p.m.
NEDg Description generation batch_69d0316f47c88190920843b469d15069 completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d032778adc8190a087497507a6e1ca completed April 3, 2026, 9:34 p.m.
Created at: March 30, 2026, 7:16 p.m.