Triple

T2855001
Position Surface form Disambiguated ID Type / Status
Subject The Crying of Lot 49 E63178 entity
Predicate mainCharacter P1183 FINISHED
Object Genghis Cohen
Genghis Cohen is a minor character in Thomas Pynchon's novel "The Crying of Lot 49," known as a philatelist who helps analyze the mysterious stamps central to the story's conspiracy.
 E304953 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: Genghis Cohen | Statement: [The Crying of Lot 49, mainCharacter, Genghis Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Genghis Cohen
Context triple: [The Crying of Lot 49, mainCharacter, Genghis Cohen]
  • A. Jake Cohen
    Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
  • B. Dashiell Weinstein
    Dashiell Weinstein is one of the children of disgraced film producer Harvey Weinstein.
  • C. Cohen
    Cohen is a common Jewish surname of Hebrew origin historically associated with priestly lineage.
  • D. Ben Dreith
    Ben Dreith is a former American football official best known for his long career as an NFL referee, including working high-profile games such as Super Bowl XV.
  • E. Barret Zoph
    Barret Zoph is a machine learning researcher known for his work on neural architecture search and contributions to deep learning at Google Brain.
  • 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: Genghis Cohen
Triple: [The Crying of Lot 49, mainCharacter, Genghis Cohen]
Generated description
Genghis Cohen is a minor character in Thomas Pynchon's novel "The Crying of Lot 49," known as a philatelist who helps analyze the mysterious stamps central to the story's conspiracy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Genghis Cohen
Target entity description: Genghis Cohen is a minor character in Thomas Pynchon's novel "The Crying of Lot 49," known as a philatelist who helps analyze the mysterious stamps central to the story's conspiracy.
  • A. Jake Cohen
    Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
  • B. Dashiell Weinstein
    Dashiell Weinstein is one of the children of disgraced film producer Harvey Weinstein.
  • C. Cohen
    Cohen is a common Jewish surname of Hebrew origin historically associated with priestly lineage.
  • D. Ben Dreith
    Ben Dreith is a former American football official best known for his long career as an NFL referee, including working high-profile games such as Super Bowl XV.
  • E. Barret Zoph
    Barret Zoph is a machine learning researcher known for his work on neural architecture search and contributions to deep learning at Google Brain.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf60852c8190b66c8719c63a723e completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d8d0eec8190b0b29407264fb2bd completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b020869d7c81909d9a00cc43f0ed7d completed March 10, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_69b02122270c8190a063f09acefcbb18 completed March 10, 2026, 1:48 p.m.
Created at: March 6, 2026, 10:02 p.m.