Triple

T14412255
Position Surface form Disambiguated ID Type / Status
Subject Gracia Querejeta E357357 entity
Predicate notableWork P4 FINISHED
Object Héctor
Héctor is a Spanish drama film directed by Gracia Querejeta that explores themes of family, loss, and adolescence.
E1098208 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: [Gracia Querejeta, notableWork, Héctor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Héctor
Context triple: [Gracia Querejeta, notableWork, Héctor]
  • 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. 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.
  • C. Hector
    Hector is the noble Trojan prince and greatest warrior of Troy in Greek mythology, renowned for his bravery and tragic death in Homer's Iliad.
  • D. Hector
    Hector is a central character in Alan Bennett’s play and film "The History Boys," portrayed as an eccentric, inspiring, and morally complex English teacher.
  • E. Ambrosio
    Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
  • 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: [Gracia Querejeta, notableWork, Héctor]
Generated description
Héctor is a Spanish drama film directed by Gracia Querejeta that explores themes of family, loss, and adolescence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Héctor
Target entity description: Héctor is a Spanish drama film directed by Gracia Querejeta that explores themes of family, loss, and adolescence.
  • 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. 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.
  • C. Hector
    Hector is a central character in Alan Bennett’s play and film "The History Boys," portrayed as an eccentric, inspiring, and morally complex English teacher.
  • D. Hector
    Hector is the noble Trojan prince and greatest warrior of Troy in Greek mythology, renowned for his bravery and tragic death in Homer's Iliad.
  • E. Ambrosio
    Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd55269d8c81909592277741a93db6 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd58216a8c8190b1fffcb670f15e16 completed May 8, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69fd589144b8819099aadef126b8728f completed May 8, 2026, 3:29 a.m.
Created at: April 10, 2026, 1:17 a.m.