Triple

T18542244
Position Surface form Disambiguated ID Type / Status
Subject Lipót Fejér E453128 entity
Predicate givenName P17 FINISHED
Object Lipót
Lipót is a Hungarian masculine given name, historically borne by notable figures such as mathematician Lipót Fejér.
E1346842 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: Lipót | Statement: [Lipót Fejér, givenName, Lipót]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipót
Context triple: [Lipót Fejér, givenName, Lipót]
  • A. József
    József is a Hungarian masculine given name equivalent to Joseph, commonly used in Hungary and among Hungarian communities.
  • B. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • C. Peter Karl Ott von Bátorkéz
    Peter Karl Ott von Bátorkéz was an Austrian general of the late 18th and early 19th centuries who served prominently in the French Revolutionary and Napoleonic Wars.
  • D. Mihály
    Mihály is a Hungarian given name commonly used as the equivalent of Michael in English.
  • E. Gyula
    Gyula is a Hungarian masculine given name historically borne by several notable political and cultural figures.
  • 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: Lipót
Triple: [Lipót Fejér, givenName, Lipót]
Generated description
Lipót is a Hungarian masculine given name, historically borne by notable figures such as mathematician Lipót Fejér.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lipót
Target entity description: Lipót is a Hungarian masculine given name, historically borne by notable figures such as mathematician Lipót Fejér.
  • A. József
    József is a Hungarian masculine given name equivalent to Joseph, commonly used in Hungary and among Hungarian communities.
  • B. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • C. Peter Karl Ott von Bátorkéz
    Peter Karl Ott von Bátorkéz was an Austrian general of the late 18th and early 19th centuries who served prominently in the French Revolutionary and Napoleonic Wars.
  • D. Mihály
    Mihály is a Hungarian given name commonly used as the equivalent of Michael in English.
  • E. Gyula
    Gyula is a Hungarian masculine given name historically borne by several notable political and cultural figures.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b80fc081908488417787d1b166 completed April 19, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0575a2137c8190b7e95f13c128e85a completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a05778b5cb08190b6800a0afdb76e8e completed May 14, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_6a05781fce1c81908d3ad3830e9c5cc8 completed May 14, 2026, 7:22 a.m.
Created at: April 10, 2026, 11:38 a.m.