Triple

T602213
Position Surface form Disambiguated ID Type / Status
Subject Nina Agdal E11517 entity
Predicate familyName P18 FINISHED
Object Agdal
Agdal is a Danish surname most notably borne by fashion model Nina Agdal.
E80581 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: Agdal | Statement: [Nina Agdal, familyName, Agdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agdal
Context triple: [Nina Agdal, familyName, Agdal]
  • A. Hamar
    Hamar is a town and municipality in Innlandet county, Norway, known for its rich Viking history and as a regional cultural and administrative center.
  • B. Kel Adagh
    Kel Adagh is a Tuareg confederation traditionally inhabiting the mountainous Adrar des Ifoghas region of northeastern Mali and parts of the central Sahara.
  • C. Tholen
    Tholen is a municipality and town in the Dutch province of Zeeland, located in the southwest of the Netherlands and known for its dikes, polders, and historic center.
  • D. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • E. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • 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: Agdal
Triple: [Nina Agdal, familyName, Agdal]
Generated description
Agdal is a Danish surname most notably borne by fashion model Nina Agdal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Agdal
Target entity description: Agdal is a Danish surname most notably borne by fashion model Nina Agdal.
  • A. Hamar
    Hamar is a town and municipality in Innlandet county, Norway, known for its rich Viking history and as a regional cultural and administrative center.
  • B. Kel Adagh
    Kel Adagh is a Tuareg confederation traditionally inhabiting the mountainous Adrar des Ifoghas region of northeastern Mali and parts of the central Sahara.
  • C. Tholen
    Tholen is a municipality and town in the Dutch province of Zeeland, located in the southwest of the Netherlands and known for its dikes, polders, and historic center.
  • D. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • E. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d7c08648190bbffc8adb4148987 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a577891a148190ae1364191f7f63bb completed March 2, 2026, 11:42 a.m.
NEDg Description generation batch_69a57a2852c881909f5623847e2fd85d completed March 2, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69a57a82f3248190b3eced48edf7a4da completed March 2, 2026, 11:54 a.m.
Created at: March 1, 2026, 7:35 p.m.