Triple

T10138896
Position Surface form Disambiguated ID Type / Status
Subject Plautus E226929 entity
Predicate notableWork P4 FINISHED
Object Rudens
Rudens is an ancient Roman comedy by the playwright Plautus, known for its shipwreck plot, seaside setting, and themes of mistaken identity and social justice.
 E843393 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: Rudens | Statement: [Plautus, notableWork, Rudens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rudens
Context triple: [Plautus, notableWork, Rudens]
  • A. Winters
    Winters is a small agricultural and wine-producing city in Northern California known for its historic downtown and proximity to outdoor recreation areas.
  • B. Oberwinter
    Oberwinter is a village on the Rhine River in the German state of Rhineland-Palatinate, known as a district of the town of Remagen.
  • C. Leto
    Leto is a Titaness in Greek mythology best known as the mother of the twin Olympian deities Apollo and Artemis.
  • D. Automne
    Automne is a river in northern France that serves as a tributary of the Oise.
  • E. Frost
    Frost is a common English surname borne by numerous notable individuals, including the American poet Robert Frost.
  • 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: Rudens
Triple: [Plautus, notableWork, Rudens]
Generated description
Rudens is an ancient Roman comedy by the playwright Plautus, known for its shipwreck plot, seaside setting, and themes of mistaken identity and social justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rudens
Target entity description: Rudens is an ancient Roman comedy by the playwright Plautus, known for its shipwreck plot, seaside setting, and themes of mistaken identity and social justice.
  • A. Winters
    Winters is a small agricultural and wine-producing city in Northern California known for its historic downtown and proximity to outdoor recreation areas.
  • B. Oberwinter
    Oberwinter is a village on the Rhine River in the German state of Rhineland-Palatinate, known as a district of the town of Remagen.
  • C. Leto
    Leto is a Titaness in Greek mythology best known as the mother of the twin Olympian deities Apollo and Artemis.
  • D. Automne
    Automne is a river in northern France that serves as a tributary of the Oise.
  • E. Frost
    Frost is a common English surname borne by numerous notable individuals, including the American poet Robert Frost.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde8851844819092330e74561b7e34 completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5f8cf7481908d0caca5a245cb64 completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2e73e4d5081909f0068d3bed583d3 completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7eea4d88190a2ec6d22a83934b3 completed April 5, 2026, 10:53 p.m.
Created at: March 30, 2026, 9:06 p.m.