Triple

T14984615
Position Surface form Disambiguated ID Type / Status
Subject Empress Theodora E373668 entity
Predicate child P120 FINISHED
Object Anna
Anna was a Byzantine imperial princess, known as the daughter of Empress Theodora.
E1131724 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: Anna | Statement: [Empress Theodora, child, Anna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna
Context triple: [Empress Theodora, child, Anna]
  • A. Anna
    Anna is the given name of Anna Murray Douglass, an African American abolitionist and the first wife of Frederick Douglass.
  • B. Anna
    Anna is an actress known for portraying the ambitious and manipulative Lady Macbeth in a production of Shakespeare’s tragedy "Macbeth."
  • C. Anna
    Anna is a biblical figure in the Book of Tobit, known as Tobit's wife and the mother of Tobias.
  • D. Anna
    Anna is a woman whose full name is Mrs. Anna Smith.
  • E. Anna
    Anna of Moscow was a medieval Russian noblewoman and princess associated with the ruling dynasties of Muscovy.
  • 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: Anna
Triple: [Empress Theodora, child, Anna]
Generated description
Anna was a Byzantine imperial princess, known as the daughter of Empress Theodora.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna
Target entity description: Anna was a Byzantine imperial princess, known as the daughter of Empress Theodora.
  • A. Anna
    Anna was a medieval Rus' princess from Novgorod, known as the daughter of Mstislav I of Kiev and a member of the Rurikid dynasty.
  • B. Anna
    Anna of Moscow was a medieval Russian noblewoman and princess associated with the ruling dynasties of Muscovy.
  • C. Anna
    Anna was Empress of Russia from 1730 to 1740, known for her autocratic rule and the dominance of her German favorites at court.
  • D. Anna
    Anna is a biblical figure in the Book of Tobit, known as Tobit's wife and the mother of Tobias.
  • E. Anna
    Anna Mikhailovna of Russia was a Russian princess of the Romanov dynasty, known as the daughter of Grand Duke Mikhail Nikolaevich and a member of the imperial family in the late 19th and early 20th centuries.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6ff4a7c8190ab7554f3a1a09b67 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9694aa688190bbecb645c49e795e completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe99553b3c8190b6bf3e133a2772fa completed May 9, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69fe99a856e48190a44548d756737164 completed May 9, 2026, 2:19 a.m.
Created at: April 10, 2026, 2:52 a.m.