Triple

T17000495
Position Surface form Disambiguated ID Type / Status
Subject Wallace Ford E412428 entity
Predicate spouse P13 FINISHED
Object Martha Haworth
Martha Haworth was the wife of British-born American character actor Wallace Ford, known for supporting his career during his long tenure in film and television.
E1245247 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: Martha Haworth | Statement: [Wallace Ford, spouse, Martha Haworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Haworth
Context triple: [Wallace Ford, spouse, Martha Haworth]
  • A. Martha Bernays
    Martha Bernays was a German-Jewish woman best known as the longtime wife and domestic partner of psychoanalyst Sigmund Freud, supporting his work and family life in late 19th- and early 20th-century Vienna.
  • B. Maude Herbert
    Maude Herbert was the wife of English composer Hubert Parry, associated with the cultural and musical circles of late 19th-century Britain.
  • C. Martha Lucy
    Martha Lucy was an English gentlewoman of the late 17th century, best known as the wife of the judge Sir Samuel Eyre and a member of the Lucy family.
  • D. Marjorie Lloyd
    Marjorie Lloyd is a woman known primarily as the sister of Gloria Lloyd.
  • E. Margaret Ashcroft
    Margaret Ashcroft was a British actress known for her work in mid-20th-century film and television dramas.
  • 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: Martha Haworth
Triple: [Wallace Ford, spouse, Martha Haworth]
Generated description
Martha Haworth was the wife of British-born American character actor Wallace Ford, known for supporting his career during his long tenure in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martha Haworth
Target entity description: Martha Haworth was the wife of British-born American character actor Wallace Ford, known for supporting his career during his long tenure in film and television.
  • A. Martha Bernays
    Martha Bernays was a German-Jewish woman best known as the longtime wife and domestic partner of psychoanalyst Sigmund Freud, supporting his work and family life in late 19th- and early 20th-century Vienna.
  • B. Maude Herbert
    Maude Herbert was the wife of English composer Hubert Parry, associated with the cultural and musical circles of late 19th-century Britain.
  • C. Martha Lucy
    Martha Lucy was an English gentlewoman of the late 17th century, best known as the wife of the judge Sir Samuel Eyre and a member of the Lucy family.
  • D. Marjorie Lloyd
    Marjorie Lloyd is a woman known primarily as the sister of Gloria Lloyd.
  • E. Margaret Ashcroft
    Margaret Ashcroft was a British actress known for her work in mid-20th-century film and television dramas.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37d9f9081909aef52426d88940d completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1ac518819093fac61b5598d730 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d68c8481909111bfab22882bb2 completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0118ba68408190b242154c40461f21 completed May 10, 2026, 11:46 p.m.
Created at: April 10, 2026, 5:32 a.m.