Triple

T8201863
Position Surface form Disambiguated ID Type / Status
Subject Ford Madox Ford E191595 entity
Predicate familyName P18 FINISHED
Object Hueffer
Hueffer is the original surname of the English novelist and critic Ford Madox Ford, used before he changed his name during World War I.
E718673 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: Hueffer | Statement: [Ford Madox Ford, familyName, Hueffer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hueffer
Context triple: [Ford Madox Ford, familyName, Hueffer]
  • A. George Faber
    George Faber is a British television and film producer known for his work on acclaimed dramas and biographical films.
  • B. Gustave Niebaum
    Gustave Niebaum was a Finnish-born sea captain and wine entrepreneur best known for establishing the historic Inglenook Winery in Napa Valley, California.
  • C. J. Petigax
    J. Petigax was a mountaineer known for making the first recorded ascent of Margherita Peak in the Rwenzori Mountains.
  • D. Ann Firbank
    Ann Firbank is a British actress best known for her work in film, television, and theatre, including prominent roles in literary adaptations.
  • E. Antoine Bibesco
    Antoine Bibesco was a Romanian diplomat, writer, and prominent socialite of the early 20th century, known for his connections with European intellectual and political circles.
  • 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: Hueffer
Triple: [Ford Madox Ford, familyName, Hueffer]
Generated description
Hueffer is the original surname of the English novelist and critic Ford Madox Ford, used before he changed his name during World War I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hueffer
Target entity description: Hueffer is the original surname of the English novelist and critic Ford Madox Ford, used before he changed his name during World War I.
  • A. George Faber
    George Faber is a British television and film producer known for his work on acclaimed dramas and biographical films.
  • B. Gustave Niebaum
    Gustave Niebaum was a Finnish-born sea captain and wine entrepreneur best known for establishing the historic Inglenook Winery in Napa Valley, California.
  • C. J. Petigax
    J. Petigax was a mountaineer known for making the first recorded ascent of Margherita Peak in the Rwenzori Mountains.
  • D. Ann Firbank
    Ann Firbank is a British actress best known for her work in film, television, and theatre, including prominent roles in literary adaptations.
  • E. Antoine Bibesco
    Antoine Bibesco was a Romanian diplomat, writer, and prominent socialite of the early 20th century, known for his connections with European intellectual and political circles.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df84b108190b4407a72a3500af9 completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedc49ba4819099762f200c4e6577 completed April 1, 2026, 10:04 a.m.
NEDg Description generation batch_69ccf1b818588190936f96d53bf08c2b completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05ac594c819087d23a7318fd7704 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:43 p.m.