Triple

T10301888
Position Surface form Disambiguated ID Type / Status
Subject Edward Norton E241650 entity
Predicate hasChild P369 FINISHED
Object Atlas Norton
Atlas Norton is the son of American actor and filmmaker Edward Norton.
E856524 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: Atlas Norton | Statement: [Edward Norton, hasChild, Atlas Norton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlas Norton
Context triple: [Edward Norton, hasChild, Atlas Norton]
  • A. Book Cliffs
    The Book Cliffs are a long, rugged series of desert mountains and cliffs stretching from western Colorado into eastern Utah, known for their striking layered rock formations and extensive fossil and energy resources.
  • B. Dutton
    Dutton is a small community located within Elgin County in southwestern Ontario, Canada.
  • C. Dutton
    Dutton is a long-established American book publishing imprint known for releasing a wide range of fiction and nonfiction titles, now operating under Penguin Random House.
  • D. Cicerone Press
    Cicerone Press is a British publishing company specializing in guidebooks for walking, trekking, climbing, and other outdoor activities.
  • E. Van Nostrand
    Van Nostrand was an American publishing company known for producing influential academic and professional works in fields such as psychology, science, and engineering.
  • 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: Atlas Norton
Triple: [Edward Norton, hasChild, Atlas Norton]
Generated description
Atlas Norton is the son of American actor and filmmaker Edward Norton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Atlas Norton
Target entity description: Atlas Norton is the son of American actor and filmmaker Edward Norton.
  • A. Book Cliffs
    The Book Cliffs are a long, rugged series of desert mountains and cliffs stretching from western Colorado into eastern Utah, known for their striking layered rock formations and extensive fossil and energy resources.
  • B. Dutton
    Dutton is a small community located within Elgin County in southwestern Ontario, Canada.
  • C. Dutton
    Dutton is a long-established American book publishing imprint known for releasing a wide range of fiction and nonfiction titles, now operating under Penguin Random House.
  • D. Cicerone Press
    Cicerone Press is a British publishing company specializing in guidebooks for walking, trekking, climbing, and other outdoor activities.
  • E. Van Nostrand
    Van Nostrand was an American publishing company known for producing influential academic and professional works in fields such as psychology, science, and engineering.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d30716d8819085e25a78e6af3b9d completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d47049c81909b60058c36042f71 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d7318402f08190b655bdddbd97ecb9 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d734473ef48190852dbe48742a4273 completed April 9, 2026, 5:08 a.m.
Created at: April 6, 2026, 11:45 a.m.