Triple

T8030880
Position Surface form Disambiguated ID Type / Status
Subject David Nicholls E186973 entity
Predicate wrote P2831 FINISHED
Object Us
"Us" is a 2014 comic novel by British author David Nicholls that follows a middle-aged man’s attempt to save his crumbling marriage during a family trip across Europe.
E713309 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: Us | Statement: [David Nicholls, wrote, Us]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Us
Context triple: [David Nicholls, wrote, Us]
  • A. Us
    Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
  • B. Us
    "Us" is a soulful pop ballad by British singer-songwriter James Bay that explores themes of hope, connection, and emotional vulnerability.
  • C. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • D. US
    US is the commonly used abbreviation for the University of Seville, a major public research university located in Seville, Spain.
  • E. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • 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: Us
Triple: [David Nicholls, wrote, Us]
Generated description
"Us" is a 2014 comic novel by British author David Nicholls that follows a middle-aged man’s attempt to save his crumbling marriage during a family trip across Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Us
Target entity description: "Us" is a 2014 comic novel by British author David Nicholls that follows a middle-aged man’s attempt to save his crumbling marriage during a family trip across Europe.
  • A. Us
    Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
  • B. Us
    "Us" is a soulful pop ballad by British singer-songwriter James Bay that explores themes of hope, connection, and emotional vulnerability.
  • C. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • D. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • E. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as a major global economic and political power.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3eef921081908d0ea21f142c175a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93bc11108190a34a35d0022f4bfd completed April 1, 2026, 3:40 a.m.
NEDg Description generation batch_69cc9557c6148190a759021b6add0a61 completed April 1, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69cc96a8bb688190a352de1798b380f1 completed April 1, 2026, 3:53 a.m.
Created at: March 30, 2026, 5:22 p.m.