Triple

T36496840
Position Surface form Disambiguated ID Type / Status
Subject Ulrich I, Count of Württemberg E899212 entity
Predicate child P120 FINISHED
Object Eberhard I, Count of Württemberg
Eberhard I, Count of Württemberg was a 13th-century German nobleman who significantly expanded and consolidated the power of the House of Württemberg within the Holy Roman Empire.
E2187672 NE FINISHED

How this triple was built (2 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: Eberhard I, Count of Württemberg | Statement: [Ulrich I, Count of Württemberg, child, Eberhard I, Count of Württemberg]
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: Eberhard I, Count of Württemberg
Triple: [Ulrich I, Count of Württemberg, child, Eberhard I, Count of Württemberg]
Generated description
Eberhard I, Count of Württemberg was a 13th-century German nobleman who significantly expanded and consolidated the power of the House of Württemberg within the Holy Roman Empire.

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_69f76e5ad4588190bdbce60c52fbb785 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c1bff1088190ae868a3222e53506 completed May 3, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbcdbcf481909e32bf53079161a0 completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39dcad4370819093a89f7a64c1b4dc completed June 23, 2026, 1:09 a.m.
NED2 Entity disambiguation (via description) batch_6a39e1c8a4d48190b23a4a436f08893f completed June 23, 2026, 1:30 a.m.
Created at: May 3, 2026, 4:10 p.m.