Triple

T16009387
Position Surface form Disambiguated ID Type / Status
Subject Lyra Belacqua E388299 entity
Predicate familyName P18 FINISHED
Object Belacqua
Belacqua is the surname of Lyra, the adventurous young heroine of Philip Pullman’s His Dark Materials series.
 E1189642 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: Belacqua | Statement: [Lyra Belacqua, familyName, Belacqua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belacqua
Context triple: [Lyra Belacqua, familyName, Belacqua]
  • A. Jourdain
    Jourdain is a Paris Métro station on the city’s northeastern network, located in the 19th arrondissement near the Belleville and Jourdain neighborhoods.
  • B. Dorante
    Dorante is a charming but financially troubled nobleman in Molière’s comedy *Le Bourgeois gentilhomme*, who exploits Monsieur Jourdain’s social ambitions for his own benefit.
  • C. Don Pasquale
    Don Pasquale is a comic opera in three acts by Gaetano Donizetti, celebrated as one of the masterpieces of the bel canto repertoire.
  • D. Sarto
    Sarto is the Italian surname of Pope Pius X, reflecting his origins in a humble family from the Veneto region.
  • E. Alfieri
    Alfieri was an Italian Navy destroyer that served during World War II as part of Italy’s Regia Marina.
  • 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: Belacqua
Triple: [Lyra Belacqua, familyName, Belacqua]
Generated description
Belacqua is the surname of Lyra, the adventurous young heroine of Philip Pullman’s His Dark Materials series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belacqua
Target entity description: Belacqua is the surname of Lyra, the adventurous young heroine of Philip Pullman’s His Dark Materials series.
  • A. Jourdain
    Jourdain is a Paris Métro station on the city’s northeastern network, located in the 19th arrondissement near the Belleville and Jourdain neighborhoods.
  • B. Dorante
    Dorante is a charming but financially troubled nobleman in Molière’s comedy *Le Bourgeois gentilhomme*, who exploits Monsieur Jourdain’s social ambitions for his own benefit.
  • C. Don Pasquale
    Don Pasquale is a comic opera in three acts by Gaetano Donizetti, celebrated as one of the masterpieces of the bel canto repertoire.
  • D. Sarto
    Sarto is the Italian surname of Pope Pius X, reflecting his origins in a humble family from the Veneto region.
  • E. Alfieri
    Alfieri was an Italian Navy destroyer that served during World War II as part of Italy’s Regia Marina.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828e9e708190aec0078913bf098a completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf24a9d8819083d7b11d71442da6 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd065cb948190b0ad7e89a12ce535 completed May 10, 2026, 12:25 a.m.
NED2 Entity disambiguation (via description) batch_69ffd1a52de08190a7b283af83be1f42 completed May 10, 2026, 12:30 a.m.
Created at: April 10, 2026, 4:55 a.m.