Triple

T15727458
Position Surface form Disambiguated ID Type / Status
Subject Smocza Jama E381253 entity
Predicate associatedWithCharacter P1481 FINISHED
Object King Krakus
King Krakus is a legendary ruler of Kraków in Polish folklore, famed for slaying the Wawel Dragon and founding the city.
E1173378 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: King Krakus | Statement: [Smocza Jama, associatedWithCharacter, King Krakus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Krakus
Context triple: [Smocza Jama, associatedWithCharacter, King Krakus]
  • A. Gundoald
    Gundoald was a member of the early medieval Bavarian nobility, associated with the ruling dynasty that governed parts of what is now southern Germany.
  • B. Gundemar
    Gundemar was a 7th-century Visigothic king of Hispania and Septimania who ruled briefly before being succeeded by Sisebut.
  • C. Thankmar
    Thankmar was a 10th-century German nobleman and the eldest son of King Henry the Fowler, whose disputed legitimacy led to his rebellion against his half-brother Otto I.
  • D. Guiderius
    Guiderius is a noble prince and one of the central heroic figures in William Shakespeare’s play "Cymbeline," known for his bravery and hidden royal identity.
  • E. Reginherus
    Reginherus is a Germanic personal name, historically related to and cognate with the legendary Norse name Ragnar.
  • 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: King Krakus
Triple: [Smocza Jama, associatedWithCharacter, King Krakus]
Generated description
King Krakus is a legendary ruler of Kraków in Polish folklore, famed for slaying the Wawel Dragon and founding the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: King Krakus
Target entity description: King Krakus is a legendary ruler of Kraków in Polish folklore, famed for slaying the Wawel Dragon and founding the city.
  • A. Gundoald
    Gundoald was a member of the early medieval Bavarian nobility, associated with the ruling dynasty that governed parts of what is now southern Germany.
  • B. Gundemar
    Gundemar was a 7th-century Visigothic king of Hispania and Septimania who ruled briefly before being succeeded by Sisebut.
  • C. Thankmar
    Thankmar was a 10th-century German nobleman and the eldest son of King Henry the Fowler, whose disputed legitimacy led to his rebellion against his half-brother Otto I.
  • D. Guiderius
    Guiderius is a noble prince and one of the central heroic figures in William Shakespeare’s play "Cymbeline," known for his bravery and hidden royal identity.
  • E. Reginherus
    Reginherus is a Germanic personal name, historically related to and cognate with the legendary Norse name Ragnar.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb4cc0081909efe330339474017 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82faa5508190a28e2a224d4a4a06 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff8388b3588190ae55c123bb19cb2c completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff84125e808190a4d465d9effad639 completed May 9, 2026, 6:59 p.m.
Created at: April 10, 2026, 4:46 a.m.