Triple

T16333369
Position Surface form Disambiguated ID Type / Status
Subject Henry Beauclerc E396611 entity
Predicate nickname P55 FINISHED
Object Beauclerc
Beauclerc is the epithet of King Henry I of England, highlighting his reputation for learning and scholarly interests.
E1207155 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: Beauclerc | Statement: [Henry Beauclerc, nickname, Beauclerc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beauclerc
Context triple: [Henry Beauclerc, nickname, Beauclerc]
  • A. Fishburne
    Fishburne is the surname of acclaimed American actor Laurence Fishburne, known for his roles in films like The Matrix trilogy and Boyz n the Hood.
  • B. Count of Blois
    The Count of Blois was a medieval French noble title associated with the powerful lords who ruled the strategically important county of Blois in central France.
  • C. Guilbert
    Guilbert is a French surname most famously associated with Yvette Guilbert, a celebrated cabaret singer and actress of the Belle Époque.
  • D. Beauchamp
    Beauchamp is an English noble family name historically associated with medieval aristocracy and influential landholding lineages.
  • E. Beauchamp
    Beauchamp is a commune in the northern suburbs of Paris, France, known for its residential character and proximity to other Val-d'Oise towns like Taverny.
  • 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: Beauclerc
Triple: [Henry Beauclerc, nickname, Beauclerc]
Generated description
Beauclerc is the epithet of King Henry I of England, highlighting his reputation for learning and scholarly interests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beauclerc
Target entity description: Beauclerc is the epithet of King Henry I of England, highlighting his reputation for learning and scholarly interests.
  • A. Fishburne
    Fishburne is the surname of acclaimed American actor Laurence Fishburne, known for his roles in films like The Matrix trilogy and Boyz n the Hood.
  • B. Count of Blois
    The Count of Blois was a medieval French noble title associated with the powerful lords who ruled the strategically important county of Blois in central France.
  • C. Guilbert
    Guilbert is a French surname most famously associated with Yvette Guilbert, a celebrated cabaret singer and actress of the Belle Époque.
  • D. Beauchamp
    Beauchamp is a commune in the northern suburbs of Paris, France, known for its residential character and proximity to other Val-d'Oise towns like Taverny.
  • E. Beauchamp
    Beauchamp is an English noble family name historically associated with medieval aristocracy and influential landholding lineages.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e1da1081909bec6e77e6109dce completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026173dc081909e00f6647d1f68b3 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a00286f9e4c8190b01e75d2bfe3083a completed May 10, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0028e71de88190b48e33f2116e78dc completed May 10, 2026, 6:42 a.m.
Created at: April 10, 2026, 5:07 a.m.