Triple

T20316671
Position Surface form Disambiguated ID Type / Status
Subject Héctor Scarone E510397 entity
Predicate givenName P17 FINISHED
Object Héctor
Héctor is a masculine given name of Spanish origin commonly used in many Spanish-speaking countries.
 E1423582 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: Héctor | Statement: [Héctor Scarone, givenName, Héctor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Héctor
Context triple: [Héctor Scarone, givenName, Héctor]
  • A. Héctor
    Héctor is a Spanish drama film directed by Gracia Querejeta that explores themes of family, loss, and adolescence.
  • B. Héctor
    Héctor is a central character in the Spanish mystery drama television series "High Seas," known for his involvement in the intrigue aboard a luxury transatlantic ship in the 1940s.
  • C. Ector
    Ector is a noble figure in Arthurian legend best known as the foster father of King Arthur and the biological father of Sir Kay.
  • D. Hector
    Hector was a British Royal Navy ship of the line that fought in the 1782 Battle of the Saintes during the American Revolutionary War.
  • E. Hector
    Hector is a family name most notably borne by German entrepreneur and SAP co-founder Hans-Werner Hector.
  • 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: Héctor
Triple: [Héctor Scarone, givenName, Héctor]
Generated description
Héctor is a masculine given name of Spanish origin commonly used in many Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Héctor
Target entity description: Héctor is a masculine given name of Spanish origin commonly used in many Spanish-speaking countries.
  • A. Héctor
    Héctor is a central character in the Spanish mystery drama television series "High Seas," known for his involvement in the intrigue aboard a luxury transatlantic ship in the 1940s.
  • B. Héctor
    Héctor is a Spanish drama film directed by Gracia Querejeta that explores themes of family, loss, and adolescence.
  • C. Ector
    Ector is a noble figure in Arthurian legend best known as the foster father of King Arthur and the biological father of Sir Kay.
  • D. Hector
    Hector was a British Royal Navy ship of the line that fought in the 1782 Battle of the Saintes during the American Revolutionary War.
  • E. Hector
    Hector is a family name most notably borne by German entrepreneur and SAP co-founder Hans-Werner Hector.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67787af188190bc32a3049c9c5b39 completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0861246f188190a0ffb84a61a7d8c1 completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a08627316d48190ab6f2f2cedd9b1db completed May 16, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a086317d0888190809268c3b8b95f6f completed May 16, 2026, 12:29 p.m.
Created at: April 16, 2026, 11:19 a.m.