Triple

T2147561
Position Surface form Disambiguated ID Type / Status
Subject Karl Urban E47102 entity
Predicate familyName P18 FINISHED
Object Urban
Urban is a common surname of various linguistic origins, notably borne by New Zealand actor Karl Urban.
 E238890 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: Urban | Statement: [Karl Urban, familyName, Urban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Urban
Context triple: [Karl Urban, familyName, Urban]
  • A. City
    "City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
  • B. Urban Jungle
    Urban Jungle is a San Diego Zoo exhibit area featuring close-up encounters with giraffes and other savanna animals in an immersive, city-themed setting.
  • C. Urban Light
    Urban Light is a large-scale outdoor installation by artist Chris Burden composed of restored vintage street lamps, prominently displayed at the entrance of the Los Angeles County Museum of Art.
  • D. Metropolitan
    Metropolitan is a senior bishop rank in the Eastern Orthodox Church, typically overseeing a large or important diocese or region.
  • E. City Loop
    City Loop is Melbourne’s central underground railway system that circulates suburban trains through key inner-city stations.
  • 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: Urban
Triple: [Karl Urban, familyName, Urban]
Generated description
Urban is a common surname of various linguistic origins, notably borne by New Zealand actor Karl Urban.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Urban
Target entity description: Urban is a common surname of various linguistic origins, notably borne by New Zealand actor Karl Urban.
  • A. City
    "City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
  • B. Urban Jungle
    Urban Jungle is a San Diego Zoo exhibit area featuring close-up encounters with giraffes and other savanna animals in an immersive, city-themed setting.
  • C. Urban Light
    Urban Light is a large-scale outdoor installation by artist Chris Burden composed of restored vintage street lamps, prominently displayed at the entrance of the Los Angeles County Museum of Art.
  • D. Metropolitan
    Metropolitan is a senior bishop rank in the Eastern Orthodox Church, typically overseeing a large or important diocese or region.
  • E. City Loop
    City Loop is Melbourne’s central underground railway system that circulates suburban trains through key inner-city stations.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe271adc8190888c9086e9b8cc0c completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d9c52081909f6acb0558369310 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae59892b848190a9cc8b086647ff14 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a02404c819088acf7c592cb2cae completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:44 p.m.