Triple

T17302235
Position Surface form Disambiguated ID Type / Status
Subject Juno Pronuba E420065 entity
Predicate title P38 FINISHED
Object Pronuba
Pronuba is an epithet of the Roman goddess Juno in her role as the protector and patroness of marriage and weddings.
 E1261215 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: Pronuba | Statement: [Juno Pronuba, title, Pronuba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pronuba
Context triple: [Juno Pronuba, title, Pronuba]
  • A. Prasonisi
    Prasonisi is a small Greek islet in the Aegean Sea, known for its remote, rugged landscape and proximity to the island of Antikythera.
  • B. Prahasta
    Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
  • C. Perahia
    Perahia is the surname of renowned American pianist and conductor Murray Perahia, celebrated for his interpretations of the classical and romantic repertoire.
  • D. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • E. Naba-Nita
    Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
  • 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: Pronuba
Triple: [Juno Pronuba, title, Pronuba]
Generated description
Pronuba is an epithet of the Roman goddess Juno in her role as the protector and patroness of marriage and weddings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pronuba
Target entity description: Pronuba is an epithet of the Roman goddess Juno in her role as the protector and patroness of marriage and weddings.
  • A. Prasonisi
    Prasonisi is a small Greek islet in the Aegean Sea, known for its remote, rugged landscape and proximity to the island of Antikythera.
  • B. Prahasta
    Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
  • C. Perahia
    Perahia is the surname of renowned American pianist and conductor Murray Perahia, celebrated for his interpretations of the classical and romantic repertoire.
  • D. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • E. Naba-Nita
    Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438fba938819084333764b868bd83 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180dc929c819096a7a5dc81e5b6ef completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0181ae2d588190a4ff68094529a994 completed May 11, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0182ccd104819088569cf0be87b4d3 completed May 11, 2026, 7:18 a.m.
Created at: April 10, 2026, 5:41 a.m.