Triple

T9328990
Position Surface form Disambiguated ID Type / Status
Subject Peter Holmes E224467 entity
Predicate hasChild P369 FINISHED
Object Jennifer Holmes
Jennifer Holmes is the child of Peter Holmes.
E791973 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: Jennifer Holmes | Statement: [Peter Holmes, hasChild, Jennifer Holmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Holmes
Context triple: [Peter Holmes, hasChild, Jennifer Holmes]
  • A. Marielle Scott
    Marielle Scott is an American actress known for her work in film and television, including roles in projects like the miniseries "A Teacher."
  • B. Anna-Marie Holmes
    Anna-Marie Holmes is a renowned ballet dancer, teacher, and choreographer best known for her acclaimed stagings of 19th-century classics for major companies worldwide.
  • C. Jennifer Laura Thompson
    Jennifer Laura Thompson is an American stage actress and singer best known for her work in Broadway musicals, including prominent roles in productions such as Dear Evan Hansen and Wicked.
  • D. Laurie Holmes
    Laurie Holmes is best known as the widow of legendary adult film actor John Holmes and for managing his estate and legacy after his death.
  • E. Karen Holmes
    Karen Holmes is a central female character in the classic World War II drama "From Here to Eternity," known for her illicit romance with Sergeant Milton Warden.
  • 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: Jennifer Holmes
Triple: [Peter Holmes, hasChild, Jennifer Holmes]
Generated description
Jennifer Holmes is the child of Peter Holmes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jennifer Holmes
Target entity description: Jennifer Holmes is the child of Peter Holmes.
  • A. Marielle Scott
    Marielle Scott is an American actress known for her work in film and television, including roles in projects like the miniseries "A Teacher."
  • B. Anna-Marie Holmes
    Anna-Marie Holmes is a renowned ballet dancer, teacher, and choreographer best known for her acclaimed stagings of 19th-century classics for major companies worldwide.
  • C. Jennifer Laura Thompson
    Jennifer Laura Thompson is an American stage actress and singer best known for her work in Broadway musicals, including prominent roles in productions such as Dear Evan Hansen and Wicked.
  • D. Laurie Holmes
    Laurie Holmes is best known as the widow of legendary adult film actor John Holmes and for managing his estate and legacy after his death.
  • E. Karen Holmes
    Karen Holmes is a central female character in the classic World War II drama "From Here to Eternity," known for her illicit romance with Sergeant Milton Warden.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ab90ac8190b5c73f08dd091731 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7f345d88190912b0f10e7ab68be completed April 4, 2026, 8:12 a.m.
NEDg Description generation batch_69d0c93366c481909eca1ae2272433c9 completed April 4, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_69d0c9a9e6508190815a9988bd38da9b completed April 4, 2026, 8:19 a.m.
Created at: March 30, 2026, 7:39 p.m.