Triple

T15890908
Position Surface form Disambiguated ID Type / Status
Subject Mihai Tudose E385315 entity
Predicate familyName P18 FINISHED
Object Tudose
Tudose is a Romanian surname most notably borne by politician Mihai Tudose, a former Prime Minister of Romania.
E1183193 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: Tudose | Statement: [Mihai Tudose, familyName, Tudose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tudose
Context triple: [Mihai Tudose, familyName, Tudose]
  • A. Tudó
    Tudó is the surname of Pepita Tudó, a Spanish woman historically known as the mistress of Manuel de Godoy, a powerful statesman in late 18th- and early 19th-century Spain.
  • B. Tuder
    Tuder was an important ancient Umbrian settlement in central Italy, known today as the hilltop town of Todi.
  • C. Tumshuq
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • D. Teosa
    Teosa is a legislative assembly constituency located in the Amravati district of Maharashtra, India.
  • E. Tose
    Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
  • 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: Tudose
Triple: [Mihai Tudose, familyName, Tudose]
Generated description
Tudose is a Romanian surname most notably borne by politician Mihai Tudose, a former Prime Minister of Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tudose
Target entity description: Tudose is a Romanian surname most notably borne by politician Mihai Tudose, a former Prime Minister of Romania.
  • A. Tudó
    Tudó is the surname of Pepita Tudó, a Spanish woman historically known as the mistress of Manuel de Godoy, a powerful statesman in late 18th- and early 19th-century Spain.
  • B. Tuder
    Tuder was an important ancient Umbrian settlement in central Italy, known today as the hilltop town of Todi.
  • C. Tumshuq
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • D. Teosa
    Teosa is a legislative assembly constituency located in the Amravati district of Maharashtra, India.
  • E. Tose
    Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561e5ac481908ead7de3140c769d completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb047b6248190b6c11ef20636f50f completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb1bd6e8481908701dcc7f61989f2 completed May 9, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69ffb27b5840819090ae42bea2996072 completed May 9, 2026, 10:17 p.m.
Created at: April 10, 2026, 4:51 a.m.