Triple

T21035273
Position Surface form Disambiguated ID Type / Status
Subject Duchess of Saxe-Hildburghausen E518172 entity
Predicate titleHolderKnownAs P142563 FINISHED
Object Therese of Bavaria
Therese of Bavaria was a Bavarian princess who became queen consort of Bavaria through her marriage to Crown Prince (later King) Ludwig I and is remembered as the namesake of Munich’s Oktoberfest.
 E2249564 NE FINISHED

How this triple was built (3 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: Therese of Bavaria | Statement: [Duchess of Saxe-Hildburghausen, titleHolderKnownAs, Therese of Bavaria]
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: Therese of Bavaria
Triple: [Duchess of Saxe-Hildburghausen, titleHolderKnownAs, Therese of Bavaria]
Generated description
Therese of Bavaria was a Bavarian princess who became queen consort of Bavaria through her marriage to Crown Prince (later King) Ludwig I and is remembered as the namesake of Munich’s Oktoberfest.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: titleHolderKnownAs
Context triple: [Duchess of Saxe-Hildburghausen, titleHolderKnownAs, Therese of Bavaria]
  • A. titleHolderName
    Indicates the name of the person or entity that holds a particular title or position.
  • B. titleHolderIs
    Indicates that one entity currently holds or possesses a specific title associated with another entity.
  • C. titleHolderFullName
    Indicates the full personal name of the entity that holds a particular title or position.
  • D. titleHolderIsUsually
    Indicates that an entity serving as a title holder is typically or most commonly a particular type or category of entity.
  • E. titleHolderKnownFor
    Indicates that the title holder is recognized or notable for a particular work, achievement, or characteristic.
  • F. None of above. chosen

Provenance (7 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc858d808190a8489aac801a4f51 completed April 21, 2026, 4:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a4117cabc448190b23de019ade9bf01 completed June 28, 2026, 12:47 p.m.
NEDg Description generation batch_6a4118a395b8819080fe072ef24f41b3 completed June 28, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a4119cd78bc8190b4f84646eea2ec12 completed June 28, 2026, 12:55 p.m.
PD Predicate disambiguation batch_69e5dbf6728881908a2a43a5c8804a2a completed April 20, 2026, 7:55 a.m.
PDg Predicate description generation batch_69e5e2df1a888190b5b478e76bdf7fdf completed April 20, 2026, 8:25 a.m.
Created at: April 16, 2026, 2:02 p.m.