Triple

T9623321
Position Surface form Disambiguated ID Type / Status
Subject Emily Hughes E232396 entity
Predicate relative P37 FINISHED
Object Laura Hughes
Laura Hughes is a person known primarily in relation to Emily Hughes, likely as a member of her immediate family.
 E359486 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: Laura Hughes | Statement: [Emily Hughes, relative, Laura Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laura Hughes
Context triple: [Emily Hughes, relative, Laura Hughes]
  • A. Laura Hughes
    Laura Hughes is known as the sister of American Olympic figure skater Sarah Hughes.
  • B. Laura Harrington
    Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
  • C. Lisa Miller Hughes
    Lisa Miller Hughes is a long-running, central character on the American soap opera "As the World Turns," known for her dramatic relationships and evolving role over decades on the show.
  • D. Mary Beth Hughes
    Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
  • E. Genevieve Hughes
    Genevieve Hughes is known primarily as the sister of American Olympic figure skating champion Sarah Hughes.
  • 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: Laura Hughes
Triple: [Emily Hughes, relative, Laura Hughes]
Generated description
Laura Hughes is a person known primarily in relation to Emily Hughes, likely as a member of her immediate family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laura Hughes
Target entity description: Laura Hughes is a person known primarily in relation to Emily Hughes, likely as a member of her immediate family.
  • A. Laura Hughes chosen
    Laura Hughes is known as the sister of American Olympic figure skater Sarah Hughes.
  • B. Laura Harrington
    Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
  • C. Lisa Miller Hughes
    Lisa Miller Hughes is a long-running, central character on the American soap opera "As the World Turns," known for her dramatic relationships and evolving role over decades on the show.
  • D. Mary Beth Hughes
    Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
  • E. Genevieve Hughes
    Genevieve Hughes is known primarily as the sister of American Olympic figure skating champion Sarah Hughes.
  • F. None of above.

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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad650a4819096258665bc3f410b completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d74fb63b7081909cb6faddd795ced6 completed April 9, 2026, 7:05 a.m.
NEDg Description generation batch_69d751122d208190abaa4fd72a07643b completed April 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69d751d4aa908190a825322ebf0066af completed April 9, 2026, 7:14 a.m.
Created at: March 30, 2026, 8:10 p.m.