Triple

T4356069
Position Surface form Disambiguated ID Type / Status
Subject Die Hard E98150 entity
Predicate character P662 FINISHED
Object Karl
Karl is a ruthless, long-haired German terrorist and Hans Gruber’s vengeful right-hand man in the action film "Die Hard."
 E449448 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: Karl | Statement: [Die Hard, character, Karl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karl
Context triple: [Die Hard, character, Karl]
  • A. Karl
    Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
  • B. Karl
    Karl is the given name of Karl Popper, the influential 20th-century philosopher of science known for his theory of falsifiability.
  • C. Karl
    Karl Schwarzschild was a German physicist and astronomer best known for providing the first exact solution to Einstein’s field equations, leading to the concept of the Schwarzschild black hole.
  • D. Karl
    Karl is the given name of German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
  • E. Karl
    Karl is a Germanic given name, cognate with Charles, commonly used in German-speaking and other European countries.
  • 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: Karl
Triple: [Die Hard, character, Karl]
Generated description
Karl is a ruthless, long-haired German terrorist and Hans Gruber’s vengeful right-hand man in the action film "Die Hard."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karl
Target entity description: Karl is a ruthless, long-haired German terrorist and Hans Gruber’s vengeful right-hand man in the action film "Die Hard."
  • A. Karl
    Karl is the given name of German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
  • B. Karl
    Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
  • C. Karl
    Karl is the given name of Karl Popper, the influential 20th-century philosopher of science known for his theory of falsifiability.
  • D. Karl
    Karl Schwarzschild was a German physicist and astronomer best known for providing the first exact solution to Einstein’s field equations, leading to the concept of the Schwarzschild black hole.
  • E. Karl
    Karl is a Germanic given name, cognate with Charles, commonly used in German-speaking and other European countries.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c5773481908446d84897e7a533 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda4073aa88190ba64691b93aab900 completed March 20, 2026, 7:46 p.m.
NEDg Description generation batch_69bda586202c8190960d36bdaa1284a7 completed March 20, 2026, 7:52 p.m.
NED2 Entity disambiguation (via description) batch_69bda5dd44388190861ddf5f689b739c completed March 20, 2026, 7:54 p.m.
Created at: March 12, 2026, 11:16 p.m.