Triple

T3646442
Position Surface form Disambiguated ID Type / Status
Subject Mao II E77312 entity
Predicate mainCharacter P1183 FINISHED
Object Scott
Scott is a central fictional character in Don DeLillo’s novel "Mao II," around whom key themes of identity, terrorism, and the role of the writer in contemporary society revolve.
E375839 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: Scott | Statement: [Mao II, mainCharacter, Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott
Context triple: [Mao II, mainCharacter, Scott]
  • A. Scott
    Scott is the middle name of Francis Scott Key, the American lawyer and poet who wrote the lyrics to the United States national anthem, "The Star-Spangled Banner."
  • B. Kay
    Kay is a common diminutive or nickname for the given name Catherine.
  • C. Blaine
    Blaine is a small coastal city in northwestern Washington State, located near the Canadian border.
  • D. Van
    Van is a historic city in eastern Anatolia, known as a major cultural and political center of ancient and medieval Armenian civilization on the shores of Lake Van.
  • E. Brandon
    Brandon is a masculine given name of Old English origin meaning "hill covered with broom" or "beacon hill."
  • 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: Scott
Triple: [Mao II, mainCharacter, Scott]
Generated description
Scott is a central fictional character in Don DeLillo’s novel "Mao II," around whom key themes of identity, terrorism, and the role of the writer in contemporary society revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Scott
Target entity description: Scott is a central fictional character in Don DeLillo’s novel "Mao II," around whom key themes of identity, terrorism, and the role of the writer in contemporary society revolve.
  • A. Scott
    Scott is the middle name of Francis Scott Key, the American lawyer and poet who wrote the lyrics to the United States national anthem, "The Star-Spangled Banner."
  • B. Kay
    Kay is a common diminutive or nickname for the given name Catherine.
  • C. Blaine
    Blaine is a small coastal city in northwestern Washington State, located near the Canadian border.
  • D. Van
    Van is a historic city in eastern Anatolia, known as a major cultural and political center of ancient and medieval Armenian civilization on the shores of Lake Van.
  • E. Brandon
    Brandon is a masculine given name of Old English origin meaning "hill covered with broom" or "beacon hill."
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3895198819090a17a8894e91d00 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f394f9c8190881edc18b544dbb7 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b45347e364819080c0dac755405462 completed March 13, 2026, 6:11 p.m.
NED2 Entity disambiguation (via description) batch_69b45f4640e881909b0e3b68cb899669 completed March 13, 2026, 7:02 p.m.
Created at: March 8, 2026, 3:24 p.m.