Triple

T9112740
Position Surface form Disambiguated ID Type / Status
Subject Morten Tyldum E218641 entity
Predicate familyName P18 FINISHED
Object Tyldum
Tyldum is a Norwegian surname most notably borne by film director Morten Tyldum, known for works such as "The Imitation Game."
 E779108 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: Tyldum | Statement: [Morten Tyldum, familyName, Tyldum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tyldum
Context triple: [Morten Tyldum, familyName, Tyldum]
  • A. Taron
    Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
  • B. Taron
    Taron was a historical Armenian province and cultural region in the upper Euphrates area, known as an early center of Armenian Christianity and noble dynasties.
  • C. Taron
    Taron is a masculine given name most prominently associated with Welsh actor Taron Egerton.
  • D. Tynda
    Tynda is a town in Russia’s Far East known as a major junction on the Baikal–Amur Mainline railway.
  • E. Syrdon
    Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
  • 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: Tyldum
Triple: [Morten Tyldum, familyName, Tyldum]
Generated description
Tyldum is a Norwegian surname most notably borne by film director Morten Tyldum, known for works such as "The Imitation Game."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tyldum
Target entity description: Tyldum is a Norwegian surname most notably borne by film director Morten Tyldum, known for works such as "The Imitation Game."
  • A. Taron
    Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
  • B. Taron
    Taron was a historical Armenian province and cultural region in the upper Euphrates area, known as an early center of Armenian Christianity and noble dynasties.
  • C. Taron
    Taron is a masculine given name most prominently associated with Welsh actor Taron Egerton.
  • D. Tynda
    Tynda is a town in Russia’s Far East known as a major junction on the Baikal–Amur Mainline railway.
  • E. Syrdon
    Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84b0a048190964f560f78e27cce completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03052716c8190835b0d3357a29ce5 completed April 3, 2026, 9:25 p.m.
NEDg Description generation batch_69d0316f47c88190920843b469d15069 completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d032778adc8190a087497507a6e1ca completed April 3, 2026, 9:34 p.m.
Created at: March 30, 2026, 7:16 p.m.