Triple

T17269372
Position Surface form Disambiguated ID Type / Status
Subject Vittorio Alfieri E419211 entity
Predicate notableWork P4 FINISHED
Object Mirra
Mirra is a tragic play by Italian dramatist Vittorio Alfieri that dramatizes the tormented, taboo love of its heroine for her father.
 E1260468 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: Mirra | Statement: [Vittorio Alfieri, notableWork, Mirra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mirra
Context triple: [Vittorio Alfieri, notableWork, Mirra]
  • A. Mirra
    Mirra is an iRobot-designed robotic pool cleaner that autonomously scrubs and vacuums swimming pools.
  • B. Gavriella
    Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
  • C. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • D. Mila
    Mila is the nickname of Margaret Laura Hager, the granddaughter of former U.S. President George W. Bush.
  • E. Mila
    Mila is a small rural locality situated within the Snowy Monaro region of New South Wales, Australia.
  • 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: Mirra
Triple: [Vittorio Alfieri, notableWork, Mirra]
Generated description
Mirra is a tragic play by Italian dramatist Vittorio Alfieri that dramatizes the tormented, taboo love of its heroine for her father.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mirra
Target entity description: Mirra is a tragic play by Italian dramatist Vittorio Alfieri that dramatizes the tormented, taboo love of its heroine for her father.
  • A. Mirra
    Mirra is an iRobot-designed robotic pool cleaner that autonomously scrubs and vacuums swimming pools.
  • B. Gavriella
    Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
  • C. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • D. Mila
    Mila is the nickname of Margaret Laura Hager, the granddaughter of former U.S. President George W. Bush.
  • E. Mila
    Mila is a small rural locality situated within the Snowy Monaro region of New South Wales, Australia.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4803b48190894b3bb9a4970602 completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794a09b8819086da30f38c6d4c20 completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a017aeff86481908a8cfed0ee1306f3 completed May 11, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_6a017b5045d08190b7c7409960f1438c completed May 11, 2026, 6:46 a.m.
Created at: April 10, 2026, 5:40 a.m.