Triple

T13658378
Position Surface form Disambiguated ID Type / Status
Subject Martin the Humane E326919 entity
Predicate nickname P55 FINISHED
Object l’Humà
l’Humà was the nickname of Martin the Humane, a medieval king of Aragon and Sicily known for his relatively just and pious rule.
 E1052295 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: l’Humà | Statement: [Martin the Humane, nickname, l’Humà]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: l’Humà
Context triple: [Martin the Humane, nickname, l’Humà]
  • A. Alfés
    Alfés is a small municipality in the Segrià comarca of the province of Lleida, in Catalonia, northeastern Spain.
  • B. Puyol
    Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
  • C. Viladrau
    Viladrau is a small Catalan town in northeastern Spain, known for its natural springs and location within the Montseny Natural Park.
  • D. Llafranc
    Llafranc is a picturesque coastal village in Catalonia, Spain, known for its sandy beach, seafront promenade, and relaxed Mediterranean atmosphere.
  • E. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • 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: l’Humà
Triple: [Martin the Humane, nickname, l’Humà]
Generated description
l’Humà was the nickname of Martin the Humane, a medieval king of Aragon and Sicily known for his relatively just and pious rule.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: l’Humà
Target entity description: l’Humà was the nickname of Martin the Humane, a medieval king of Aragon and Sicily known for his relatively just and pious rule.
  • A. Alfés
    Alfés is a small municipality in the Segrià comarca of the province of Lleida, in Catalonia, northeastern Spain.
  • B. Puyol
    Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
  • C. Viladrau
    Viladrau is a small Catalan town in northeastern Spain, known for its natural springs and location within the Montseny Natural Park.
  • D. Llafranc
    Llafranc is a picturesque coastal village in Catalonia, Spain, known for its sandy beach, seafront promenade, and relaxed Mediterranean atmosphere.
  • E. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61f0d808190b1cd2a6ba0d930eb completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b06c5d081909d31b8a537c94edb completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c9f543481909a0de6a0c3bb041f completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:52 p.m.