Triple

T23468030
Position Surface form Disambiguated ID Type / Status
Subject Table 19 E569147 entity
Predicate hasCharacter P2308 FINISHED
Object Rezno Eckberg
Rezno Eckberg is a fictional character appearing in the narrative associated with "Table 19."
 E1589881 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: Rezno Eckberg | Statement: [Table 19, hasCharacter, Rezno Eckberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rezno Eckberg
Context triple: [Table 19, hasCharacter, Rezno Eckberg]
  • A. Erik Bergquist
    Erik Bergquist is a screenwriter best known for co-writing the original 2001 action film "The Fast and the Furious."
  • B. Carl Skottsberg
    Carl Skottsberg was a Swedish botanist and explorer renowned for his pioneering research on subantarctic and Antarctic flora.
  • C. Erik Hesselberg
    Erik Hesselberg was a Norwegian sailor, navigator, and artist best known for serving as the navigator and mapmaker on Thor Heyerdahl’s 1947 Kon-Tiki expedition across the Pacific.
  • D. Erik Rudberg
    Erik Rudberg was a scientist known as a notable student and collaborator of Nobel Prize–winning chemist George de Hevesy.
  • E. Gunnar Fischer
    Gunnar Fischer was a renowned Swedish cinematographer best known for his stark, expressive black-and-white collaborations with director Ingmar Bergman.
  • 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: Rezno Eckberg
Triple: [Table 19, hasCharacter, Rezno Eckberg]
Generated description
Rezno Eckberg is a fictional character appearing in the narrative associated with "Table 19."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rezno Eckberg
Target entity description: Rezno Eckberg is a fictional character appearing in the narrative associated with "Table 19."
  • A. Erik Bergquist
    Erik Bergquist is a screenwriter best known for co-writing the original 2001 action film "The Fast and the Furious."
  • B. Carl Skottsberg
    Carl Skottsberg was a Swedish botanist and explorer renowned for his pioneering research on subantarctic and Antarctic flora.
  • C. Erik Hesselberg
    Erik Hesselberg was a Norwegian sailor, navigator, and artist best known for serving as the navigator and mapmaker on Thor Heyerdahl’s 1947 Kon-Tiki expedition across the Pacific.
  • D. Erik Rudberg
    Erik Rudberg was a scientist known as a notable student and collaborator of Nobel Prize–winning chemist George de Hevesy.
  • E. Gunnar Fischer
    Gunnar Fischer was a renowned Swedish cinematographer best known for his stark, expressive black-and-white collaborations with director Ingmar Bergman.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6fd280c81908aae05f0851466eb completed April 29, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8256ede08190a95e0074245e9eff completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6efb0d88190bf15b18cc3f12482 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca819f6dc8190852bb3c06768ac5a completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 5:54 p.m.