Triple

T16886499
Position Surface form Disambiguated ID Type / Status
Subject Heidi (2015 film) E421553 entity
Predicate producer P490 FINISHED
Object Lukas Hobi
Lukas Hobi is a film producer best known for his work on the 2015 adaptation of "Heidi."
 E1238572 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: Lukas Hobi | Statement: [Heidi (2015 film), producer, Lukas Hobi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lukas Hobi
Context triple: [Heidi (2015 film), producer, Lukas Hobi]
  • A. Lukas Heller
    Lukas Heller was a German-born British screenwriter best known for his work on psychological thrillers and film adaptations in the 1960s and 1970s.
  • B. Lukas Hosk
    Lukas Hosk is known as the brother of Swedish model and former Victoria’s Secret Angel Elsa Hosk.
  • C. Lukas Haas
    Lukas Haas is an American actor known for his early breakthrough role in "Witness" (1985) and a diverse career spanning independent films and major Hollywood productions.
  • D. Tobias Haslinger
    Tobias Haslinger was a 19th-century Austrian music publisher known for issuing works by major composers such as Franz Schubert, including the song cycle "Winterreise."
  • E. Lukas
    Lukas is a masculine given name commonly used in various European countries, often associated with the biblical name Luke.
  • 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: Lukas Hobi
Triple: [Heidi (2015 film), producer, Lukas Hobi]
Generated description
Lukas Hobi is a film producer best known for his work on the 2015 adaptation of "Heidi."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lukas Hobi
Target entity description: Lukas Hobi is a film producer best known for his work on the 2015 adaptation of "Heidi."
  • A. Lukas Heller
    Lukas Heller was a German-born British screenwriter best known for his work on psychological thrillers and film adaptations in the 1960s and 1970s.
  • B. Lukas Hosk
    Lukas Hosk is known as the brother of Swedish model and former Victoria’s Secret Angel Elsa Hosk.
  • C. Lukas Haas
    Lukas Haas is an American actor known for his early breakthrough role in "Witness" (1985) and a diverse career spanning independent films and major Hollywood productions.
  • D. Tobias Haslinger
    Tobias Haslinger was a 19th-century Austrian music publisher known for issuing works by major composers such as Franz Schubert, including the song cycle "Winterreise."
  • E. Lukas
    Lukas is a masculine given name commonly used in various European countries, often associated with the biblical name Luke.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc126e881909dae8133ad34acc9 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2bcf290819098be9def471e02b8 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c3c25e9481908327bb6646212368 completed May 10, 2026, 5:43 p.m.
NED2 Entity disambiguation (via description) batch_6a00c44e37b48190a62b315ddbbd4ec4 completed May 10, 2026, 5:45 p.m.
Created at: April 10, 2026, 5:29 a.m.