Triple

T22702857
Position Surface form Disambiguated ID Type / Status
Subject Dan Brown E561368 entity
Predicate notableWork P4 FINISHED
Object Origin
Origin is a 2017 techno-thriller novel by Dan Brown featuring symbologist Robert Langdon as he investigates a futurist’s groundbreaking discovery about the origins and destiny of human life.
 E1550109 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: Origin | Statement: [Dan Brown, notableWork, Origin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Origin
Context triple: [Dan Brown, notableWork, Origin]
  • A. Origin
    Origin is a 2023 drama film written and directed by Ava DuVernay that explores the roots and structures of caste and systemic oppression across different societies.
  • B. Origin
    Origin is a digital distribution platform for PC games, primarily associated with Electronic Arts, that offers game purchases, downloads, and related online services.
  • C. Origin
    Origin is a common abbreviation for Charles Darwin’s landmark 1859 work on evolutionary biology, "On the Origin of Species."
  • D. Origin
    Origin is a popular shorthand name for Australia's annual State of Origin rugby league series between New South Wales and Queensland.
  • E. Origin
    Origin is an American technical death metal band known for its highly complex, fast, and precise musicianship.
  • 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: Origin
Triple: [Dan Brown, notableWork, Origin]
Generated description
Origin is a 2017 techno-thriller novel by Dan Brown featuring symbologist Robert Langdon as he investigates a futurist’s groundbreaking discovery about the origins and destiny of human life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Origin
Target entity description: Origin is a 2017 techno-thriller novel by Dan Brown featuring symbologist Robert Langdon as he investigates a futurist’s groundbreaking discovery about the origins and destiny of human life.
  • A. Origin
    Origin is a common abbreviation for Charles Darwin’s landmark 1859 work on evolutionary biology, "On the Origin of Species."
  • B. Origin
    Origin is a 2023 drama film written and directed by Ava DuVernay that explores the roots and structures of caste and systemic oppression across different societies.
  • C. Origin
    Origin is a popular shorthand name for Australia's annual State of Origin rugby league series between New South Wales and Queensland.
  • D. Origin
    Origin is a digital distribution platform for PC games, primarily associated with Electronic Arts, that offers game purchases, downloads, and related online services.
  • E. Origin
    Origin is an American technical death metal band known for its highly complex, fast, and precise musicianship.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cbf5788190bc8cd1bc71a861e5 completed April 29, 2026, 3:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ed40b5c8190a2ac99d215de0c31 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b7f9ccb00819092fe5e9d71f545e4 completed May 18, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0b806b4e1481909babc97a8914947a completed May 18, 2026, 9:11 p.m.
Created at: April 17, 2026, 3:16 p.m.