Triple

T19968877
Position Surface form Disambiguated ID Type / Status
Subject Antonio Muñoz Molina E480015 entity
Predicate notableWork P4 FINISHED
Object Beltenebros
Beltenebros is a noir-influenced novel by Spanish writer Antonio Muñoz Molina that blends political intrigue, memory, and betrayal in Franco-era Spain.
 E1404579 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: Beltenebros | Statement: [Antonio Muñoz Molina, notableWork, Beltenebros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beltenebros
Context triple: [Antonio Muñoz Molina, notableWork, Beltenebros]
  • A. Charops
    Charops is a minor figure in Greek mythology known primarily as a son of the Thracian king Oeagrus.
  • B. Kabzeel
    Kabzeel was an ancient town in the southern region of Judah mentioned in the Hebrew Bible.
  • C. Chthonopatra
    Chthonopatra is a minor figure in Greek mythology known primarily as a daughter of the Athenian king Amphictyon.
  • D. Kebechet
    Kebechet is an ancient Egyptian goddess associated with purification and cooling water, particularly in the context of mummification and the afterlife.
  • E. Baragon
    Baragon is a burrowing, horned kaiju from the Godzilla franchise, known for its subterranean attacks and appearances in classic Toho monster films.
  • 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: Beltenebros
Triple: [Antonio Muñoz Molina, notableWork, Beltenebros]
Generated description
Beltenebros is a noir-influenced novel by Spanish writer Antonio Muñoz Molina that blends political intrigue, memory, and betrayal in Franco-era Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beltenebros
Target entity description: Beltenebros is a noir-influenced novel by Spanish writer Antonio Muñoz Molina that blends political intrigue, memory, and betrayal in Franco-era Spain.
  • A. Charops
    Charops is a minor figure in Greek mythology known primarily as a son of the Thracian king Oeagrus.
  • B. Kabzeel
    Kabzeel was an ancient town in the southern region of Judah mentioned in the Hebrew Bible.
  • C. Chthonopatra
    Chthonopatra is a minor figure in Greek mythology known primarily as a daughter of the Athenian king Amphictyon.
  • D. Kebechet
    Kebechet is an ancient Egyptian goddess associated with purification and cooling water, particularly in the context of mummification and the afterlife.
  • E. Baragon
    Baragon is a burrowing, horned kaiju from the Godzilla franchise, known for its subterranean attacks and appearances in classic Toho monster films.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc7c2fc81909b89c549a5f99e4c completed April 20, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdd37adc8190b997852563023b11 completed May 16, 2026, 5:17 a.m.
NEDg Description generation batch_6a07fe9021dc81909081c65135b57e8f completed May 16, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_6a07ff024fa48190b0d68ad87dc25ef6 completed May 16, 2026, 5:22 a.m.
Created at: April 10, 2026, 1:54 p.m.