Triple

T6056245
Position Surface form Disambiguated ID Type / Status
Subject Joseph A. Galamb E134916 entity
Predicate familyName P18 FINISHED
Object Galamb
Galamb is a Hungarian surname most notably associated with József (Joseph A.) Galamb, a key engineer in the development of the Ford Model T.
E564154 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: Galamb | Statement: [Joseph A. Galamb, familyName, Galamb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galamb
Context triple: [Joseph A. Galamb, familyName, Galamb]
  • A. Gárdony
    Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
  • B. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • C. Zagyva
    Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
  • D. Vizafogó
    Vizafogó is a residential neighborhood in Budapest, Hungary, located along the Danube in the city's 13th district.
  • E. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • 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: Galamb
Triple: [Joseph A. Galamb, familyName, Galamb]
Generated description
Galamb is a Hungarian surname most notably associated with József (Joseph A.) Galamb, a key engineer in the development of the Ford Model T.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Galamb
Target entity description: Galamb is a Hungarian surname most notably associated with József (Joseph A.) Galamb, a key engineer in the development of the Ford Model T.
  • A. Gárdony
    Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
  • B. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • C. Zagyva
    Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
  • D. Vizafogó
    Vizafogó is a residential neighborhood in Budapest, Hungary, located along the Danube in the city's 13th district.
  • E. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570bf01c8190a8b2c25b7805d403 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113b06d188190839cfc48a2461d65 completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c114dcc99481909163f0f40f1a6358 completed March 23, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69c115552c188190b500d96e86410180 completed March 23, 2026, 10:26 a.m.
Created at: March 22, 2026, 4:09 p.m.