Triple

T3132199
Position Surface form Disambiguated ID Type / Status
Subject The City of Lost Children E65439 entity
Predicate mainCharacter P1183 FINISHED
Object Krank
Krank is the sinister, child-stealing scientist who serves as the primary antagonist in the dark fantasy film "The City of Lost Children."
E330488 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: Krank | Statement: [The City of Lost Children, mainCharacter, Krank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krank
Context triple: [The City of Lost Children, mainCharacter, Krank]
  • A. Malad
    Malad is a suburban neighborhood in the northern part of Mumbai, India, known for its residential complexes, shopping malls, and commercial development.
  • B. Sick Boy
    "Sick Boy" is a 2018 electronic-pop single by The Chainsmokers that explores themes of identity, fame, and societal pressure in the digital age.
  • C. So Sick
    "So Sick" is a popular R&B song by Ne-Yo, known for its melancholic theme of heartbreak and its success as one of his breakthrough hits.
  • D. Love Sick
    "Love Sick" is a song by Bob Dylan, best known as the haunting, blues-infused opening track of his 1997 album *Time Out of Mind*.
  • E. Eski Hastalık
    Eski Hastalık is a novel by prominent Turkish author Reşat Nuri Güntekin, known for its exploration of social and emotional themes in early 20th-century Turkey.
  • 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: Krank
Triple: [The City of Lost Children, mainCharacter, Krank]
Generated description
Krank is the sinister, child-stealing scientist who serves as the primary antagonist in the dark fantasy film "The City of Lost Children."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krank
Target entity description: Krank is the sinister, child-stealing scientist who serves as the primary antagonist in the dark fantasy film "The City of Lost Children."
  • A. Malad
    Malad is a suburban neighborhood in the northern part of Mumbai, India, known for its residential complexes, shopping malls, and commercial development.
  • B. Sick Boy
    "Sick Boy" is a 2018 electronic-pop single by The Chainsmokers that explores themes of identity, fame, and societal pressure in the digital age.
  • C. So Sick
    "So Sick" is a popular R&B song by Ne-Yo, known for its melancholic theme of heartbreak and its success as one of his breakthrough hits.
  • D. Love Sick
    "Love Sick" is a song by Bob Dylan, best known as the haunting, blues-infused opening track of his 1997 album *Time Out of Mind*.
  • E. Eski Hastalık
    Eski Hastalık is a novel by prominent Turkish author Reşat Nuri Güntekin, known for its exploration of social and emotional themes in early 20th-century Turkey.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada55f77b881908866fc43bdb18185 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f82787c81908eb72b18614c3421 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2102e35b08190ad9ca397f0c937da completed March 12, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69b21458b07081909d75886e0d9f88e9 completed March 12, 2026, 1:18 a.m.
Created at: March 8, 2026, 3:04 p.m.