Triple

T663231
Position Surface form Disambiguated ID Type / Status
Subject Malcolm III of Scotland E12802 entity
Predicate mother P120 FINISHED
Object Suthen
Suthen was a medieval Scottish noblewoman known primarily as the mother of King Malcolm III of Scotland.
 E84098 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: Suthen | Statement: [Malcolm III of Scotland, mother, Suthen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suthen
Context triple: [Malcolm III of Scotland, mother, Suthen]
  • A. Kundagannada
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • B. Sibi
    Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
  • C. Yerrapragada
    Yerrapragada was a prominent medieval Telugu poet and scholar, renowned for his contributions to classical Telugu literature and refinement of earlier works.
  • D. Mooanam
    Mooanam was a member of the Wampanoag royal family, known primarily as one of the children of the influential sachem Massasoit in early 17th-century New England.
  • E. Kamarajar Salai
    Kamarajar Salai is a prominent seaside arterial road in Chennai, India, running along the Marina Beach and hosting several important educational and governmental landmarks.
  • 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: Suthen
Triple: [Malcolm III of Scotland, mother, Suthen]
Generated description
Suthen was a medieval Scottish noblewoman known primarily as the mother of King Malcolm III of Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suthen
Target entity description: Suthen was a medieval Scottish noblewoman known primarily as the mother of King Malcolm III of Scotland.
  • A. Kundagannada
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • B. Sibi
    Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
  • C. Yerrapragada
    Yerrapragada was a prominent medieval Telugu poet and scholar, renowned for his contributions to classical Telugu literature and refinement of earlier works.
  • D. Mooanam
    Mooanam was a member of the Wampanoag royal family, known primarily as one of the children of the influential sachem Massasoit in early 17th-century New England.
  • E. Kamarajar Salai
    Kamarajar Salai is a prominent seaside arterial road in Chennai, India, running along the Marina Beach and hosting several important educational and governmental landmarks.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd1f0ec819087003d30bbab2fa6 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc9b645881908c7d2d69aa2f44aa completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5e63dbd488190a2cd3c241cc76465 completed March 2, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69a601c3b8f081908e821092ca9cfc82 completed March 2, 2026, 9:31 p.m.
Created at: March 1, 2026, 7:36 p.m.