Triple

T7438939
Position Surface form Disambiguated ID Type / Status
Subject Shane Stevens E171695 entity
Predicate notableWork P4 FINISHED
Object Dead City
Dead City is a gritty crime novel by Shane Stevens, known for its dark, realistic portrayal of organized crime and urban violence.
 E664555 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: Dead City | Statement: [Shane Stevens, notableWork, Dead City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dead City
Context triple: [Shane Stevens, notableWork, Dead City]
  • A. Murder City
    "Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
  • B. The City Gone Wild
    The City Gone Wild is a 1927 American silent crime film, now considered lost, in which actress Lotus Thompson appeared.
  • C. Broken City
    Broken City is a 2013 neo-noir crime thriller film starring Mark Wahlberg and Russell Crowe, centered on a disgraced ex-cop drawn into a web of political corruption and betrayal in New York City.
  • D. Broken City
    "Broken City" is a song featured on the album *Revelations* by the American rock band Audioslave.
  • E. Dark City
    Dark City is a 1998 neo-noir science fiction film known for its atmospheric visuals, philosophical themes about memory and identity, and cult following.
  • 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: Dead City
Triple: [Shane Stevens, notableWork, Dead City]
Generated description
Dead City is a gritty crime novel by Shane Stevens, known for its dark, realistic portrayal of organized crime and urban violence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dead City
Target entity description: Dead City is a gritty crime novel by Shane Stevens, known for its dark, realistic portrayal of organized crime and urban violence.
  • A. Murder City
    "Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
  • B. The City Gone Wild
    The City Gone Wild is a 1927 American silent crime film, now considered lost, in which actress Lotus Thompson appeared.
  • C. Broken City
    Broken City is a 2013 neo-noir crime thriller film starring Mark Wahlberg and Russell Crowe, centered on a disgraced ex-cop drawn into a web of political corruption and betrayal in New York City.
  • D. Broken City
    "Broken City" is a song featured on the album *Revelations* by the American rock band Audioslave.
  • E. Dark City
    Dark City is a 1998 neo-noir science fiction film known for its atmospheric visuals, philosophical themes about memory and identity, and cult following.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34c28648190a426b5d7623b41e8 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8278cd9cc8190b88767c1432b3007 completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c828854f6c8190885afb60d789f9b9 completed March 28, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69c82926c16c8190adf364f7b9d3c149 completed March 28, 2026, 7:16 p.m.
Created at: March 27, 2026, 3:13 p.m.