Triple

T12115122
Position Surface form Disambiguated ID Type / Status
Subject Mira Einstein-Yehieli E288537 entity
Predicate givenName P17 FINISHED
Object Mira
Mira is a feminine given name used in various cultures, often meaning "wonder," "peace," or "ocean" depending on its linguistic origin.
 E859965 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: Mira | Statement: [Mira Einstein-Yehieli, givenName, Mira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mira
Context triple: [Mira Einstein-Yehieli, givenName, Mira]
  • A. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • B. Mira
    Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
  • C. Mira
    Mira is a famous red giant variable star in the constellation Cetus, known for its dramatic changes in brightness over time.
  • D. Mira
    Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
  • E. Mira
    Mira is the courageous female warrior and key protagonist in the historical action film "The Last Legion."
  • 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: Mira
Triple: [Mira Einstein-Yehieli, givenName, Mira]
Generated description
Mira is a feminine given name used in various cultures, often meaning "wonder," "peace," or "ocean" depending on its linguistic origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mira
Target entity description: Mira is a feminine given name used in various cultures, often meaning "wonder," "peace," or "ocean" depending on its linguistic origin.
  • A. Mira chosen
    Mira is a common given name shared by various notable individuals, including acclaimed Indian-American film director Mira Nair.
  • B. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • C. Mira
    Mira is a famous red giant variable star in the constellation Cetus, known for its dramatic changes in brightness over time.
  • D. Mira
    Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
  • E. Mira
    Mira is the courageous female warrior and key protagonist in the historical action film "The Last Legion."
  • F. None of above.

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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156921dc8190aa132b0ab3a7c184 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e46d588819086bfde1b544cab82 completed May 2, 2026, 3:54 p.m.
NEDg Description generation batch_69f62000506081909f26a670bf81bf72 completed May 2, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_69f6207f164c8190b663a50ee3c761d6 completed May 2, 2026, 4:04 p.m.
Created at: April 8, 2026, 9:49 p.m.