Triple

T8957474
Position Surface form Disambiguated ID Type / Status
Subject Sally Ann Howes E213511 entity
Predicate relative P37 FINISHED
Object Jack Howes
Jack Howes is a family member of the late English actress and singer Sally Ann Howes.
E776989 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: Jack Howes | Statement: [Sally Ann Howes, relative, Jack Howes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Howes
Context triple: [Sally Ann Howes, relative, Jack Howes]
  • A. Tim Howes
    Tim Howes is an American computer scientist and entrepreneur best known as the co-inventor of the LDAP protocol and a co-founder of the cloud services company Loudcloud (later Opsware).
  • B. Michael Howells
    Michael Howells was the son of English composer Herbert Howells, to whose memory the choral work "Hymnus Paradisi" is dedicated.
  • C. Danny Howells
    Danny Howells is a British DJ and electronic music producer known for his eclectic, progressive house and tech-house sets and long-standing presence in the global club scene.
  • D. Roger Hawkins
    Roger Hawkins was a renowned American session drummer best known as a key member of the Muscle Shoals Rhythm Section, playing on numerous classic soul and rock recordings.
  • E. Alexander Haddow
    Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
  • 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: Jack Howes
Triple: [Sally Ann Howes, relative, Jack Howes]
Generated description
Jack Howes is a family member of the late English actress and singer Sally Ann Howes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jack Howes
Target entity description: Jack Howes is a family member of the late English actress and singer Sally Ann Howes.
  • A. Tim Howes
    Tim Howes is an American computer scientist and entrepreneur best known as the co-inventor of the LDAP protocol and a co-founder of the cloud services company Loudcloud (later Opsware).
  • B. Michael Howells
    Michael Howells was the son of English composer Herbert Howells, to whose memory the choral work "Hymnus Paradisi" is dedicated.
  • C. Danny Howells
    Danny Howells is a British DJ and electronic music producer known for his eclectic, progressive house and tech-house sets and long-standing presence in the global club scene.
  • D. Roger Hawkins
    Roger Hawkins was a renowned American session drummer best known as a key member of the Muscle Shoals Rhythm Section, playing on numerous classic soul and rock recordings.
  • E. Alexander Haddow
    Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6729ab7c8190a6168f0aa70a5520 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0174564188190a99e2d46a6563b69 completed April 3, 2026, 7:38 p.m.
NEDg Description generation batch_69d019059e8481909a696575366aa0b6 completed April 3, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69d019a2736c8190880c8f3786cf353b completed April 3, 2026, 7:48 p.m.
Created at: March 30, 2026, 7 p.m.