Triple

T12072701
Position Surface form Disambiguated ID Type / Status
Subject Monk’s Hood E287463 entity
Predicate featuresCharacter P626 FINISHED
Object Brother Mark
Brother Mark is a fictional monastic character appearing in Ellis Peters’ medieval mystery novel "Monk’s Hood."
E964888 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: Brother Mark | Statement: [Monk’s Hood, featuresCharacter, Brother Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brother Mark
Context triple: [Monk’s Hood, featuresCharacter, Brother Mark]
  • A. Brother Rapp
    Brother Rapp is a funk song by James Brown, known for its driving groove and socially conscious lyrics.
  • B. Brother Michael
    Brother Michael is a figure referenced in the lyrics of Paul McCartney and Wings' song "Let 'Em In," where various acquaintances and relatives are invited to come in.
  • C. Brother Theodore
    Brother Theodore was a German-American monologist and actor known for his darkly comedic, existential rants and cult appearances on late-night television and in offbeat films.
  • D. Brother Carl
    Brother Carl is a 1971 art-house drama film by Susan Sontag that explores alienation and psychological tension in a stark, minimalist style.
  • E. Brother
    Brother is a Japanese multinational electronics and electrical equipment company best known for its printers, sewing machines, and other office and home devices.
  • 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: Brother Mark
Triple: [Monk’s Hood, featuresCharacter, Brother Mark]
Generated description
Brother Mark is a fictional monastic character appearing in Ellis Peters’ medieval mystery novel "Monk’s Hood."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brother Mark
Target entity description: Brother Mark is a fictional monastic character appearing in Ellis Peters’ medieval mystery novel "Monk’s Hood."
  • A. Brother Rapp
    Brother Rapp is a funk song by James Brown, known for its driving groove and socially conscious lyrics.
  • B. Brother Michael
    Brother Michael is a figure referenced in the lyrics of Paul McCartney and Wings' song "Let 'Em In," where various acquaintances and relatives are invited to come in.
  • C. Brother Theodore
    Brother Theodore was a German-American monologist and actor known for his darkly comedic, existential rants and cult appearances on late-night television and in offbeat films.
  • D. Brother Carl
    Brother Carl is a 1971 art-house drama film by Susan Sontag that explores alienation and psychological tension in a stark, minimalist style.
  • E. Brother
    Brother is a Japanese multinational electronics and electrical equipment company best known for its printers, sewing machines, and other office and home devices.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045a507081909070ea37173d6f97 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f65ed5908190a0082796366a8825 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f600b51f488190a85a8f10f190b3c0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601e7f3b0819098a2245b9f9316b9 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:48 p.m.