Triple

T18552596
Position Surface form Disambiguated ID Type / Status
Subject Gyldenstierne family E453413 entity
Predicate hasSurnameForm P18 FINISHED
Object Gyldenstjerne
Gyldenstjerne is a Danish noble surname historically borne by members of the influential Gyldenstierne family.
 E1332697 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: Gyldenstjerne | Statement: [Gyldenstierne family, hasSurnameForm, Gyldenstjerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gyldenstjerne
Context triple: [Gyldenstierne family, hasSurnameForm, Gyldenstjerne]
  • A. Ulrik Christian Gyldenløve
    Ulrik Christian Gyldenløve was an illegitimate son of King Christian V of Denmark who became a prominent Danish-Norwegian nobleman and military officer in the late 17th century.
  • B. Henricus
    Henricus was an early 17th-century English colonial settlement in Virginia, established as one of the first permanent towns in North America.
  • C. Henricus
    Henricus was a medieval Roman Catholic bishop who served as the ecclesiastical leader of the Diocese of Gardar in Greenland.
  • D. Henricus
    Henricus is a Latinized given name historically used across Europe, corresponding to names like Henry and Henrique.
  • E. Royal Dano
    Royal Dano was an American character actor known for his distinctive voice and memorable supporting roles in numerous Westerns and classic films and television series from the 1950s through the 1980s.
  • 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: Gyldenstjerne
Triple: [Gyldenstierne family, hasSurnameForm, Gyldenstjerne]
Generated description
Gyldenstjerne is a Danish noble surname historically borne by members of the influential Gyldenstierne family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gyldenstjerne
Target entity description: Gyldenstjerne is a Danish noble surname historically borne by members of the influential Gyldenstierne family.
  • A. Ulrik Christian Gyldenløve
    Ulrik Christian Gyldenløve was an illegitimate son of King Christian V of Denmark who became a prominent Danish-Norwegian nobleman and military officer in the late 17th century.
  • B. Henricus
    Henricus was an early 17th-century English colonial settlement in Virginia, established as one of the first permanent towns in North America.
  • C. Henricus
    Henricus was a medieval Roman Catholic bishop who served as the ecclesiastical leader of the Diocese of Gardar in Greenland.
  • D. Henricus
    Henricus is a Latinized given name historically used across Europe, corresponding to names like Henry and Henrique.
  • E. Royal Dano
    Royal Dano was an American character actor known for his distinctive voice and memorable supporting roles in numerous Westerns and classic films and television series from the 1950s through the 1980s.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e538027b94819082a4c4af66e170d7 completed April 19, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f88064f08190b51c9b99a8d0c83d completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a05003b912881908907d081adb18759 completed May 13, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0500a312848190aea8c4a4c97e18dd completed May 13, 2026, 10:52 p.m.
Created at: April 10, 2026, 11:38 a.m.