Triple

T12479037
Position Surface form Disambiguated ID Type / Status
Subject The Adventures of Kathlyn E298253 entity
Predicate character P662 FINISHED
Object Kathlyn Hare
Kathlyn Hare is the daring and resourceful heroine of the early 1910s adventure film serial "The Adventures of Kathlyn."
 E1052039 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: Kathlyn Hare | Statement: [The Adventures of Kathlyn, character, Kathlyn Hare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kathlyn Hare
Context triple: [The Adventures of Kathlyn, character, Kathlyn Hare]
  • A. Kathlyn Williams
    Kathlyn Williams was a pioneering American silent film actress best known for her work in early adventure serials and melodramas.
  • B. Barbara Hackett
    Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
  • C. Mariette Hartley
    Mariette Hartley is an American actress known for her work in film and television since the 1960s, including notable roles in Westerns and numerous guest appearances on popular TV series.
  • D. Eileen Morrow
    Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
  • E. Myrna Fahey
    Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and 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: Kathlyn Hare
Triple: [The Adventures of Kathlyn, character, Kathlyn Hare]
Generated description
Kathlyn Hare is the daring and resourceful heroine of the early 1910s adventure film serial "The Adventures of Kathlyn."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kathlyn Hare
Target entity description: Kathlyn Hare is the daring and resourceful heroine of the early 1910s adventure film serial "The Adventures of Kathlyn."
  • A. Kathlyn Williams
    Kathlyn Williams was a pioneering American silent film actress best known for her work in early adventure serials and melodramas.
  • B. Barbara Hackett
    Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
  • C. Mariette Hartley
    Mariette Hartley is an American actress known for her work in film and television since the 1960s, including notable roles in Westerns and numerous guest appearances on popular TV series.
  • D. Eileen Morrow
    Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
  • E. Myrna Fahey
    Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcdcd3c81908ad29145db241408 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ac6efe88190b48d2868443ed412 completed May 3, 2026, 5:49 p.m.
NEDg Description generation batch_69f78b5eba1c8190b3e75d4c30132d84 completed May 3, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69f78c31c0a48190aaa9474fc043e725 completed May 3, 2026, 5:56 p.m.
Created at: April 8, 2026, 9:56 p.m.