Triple

T20856144
Position Surface form Disambiguated ID Type / Status
Subject Laszlo Halasz E513485 entity
Predicate givenName P17 FINISHED
Object Laszlo
Laszlo is a masculine given name of Hungarian origin, commonly borne by notable figures in fields such as art, science, and music.
 E1454388 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: Laszlo | Statement: [Laszlo Halasz, givenName, Laszlo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laszlo
Context triple: [Laszlo Halasz, givenName, Laszlo]
  • A. Zoltán
    Zoltán was an early medieval Hungarian ruler, traditionally regarded as one of the first princes of the Principality of Hungary and a successor in the Árpád dynasty.
  • B. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • C. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • D. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • E. Lóránt
    Lóránt is a Hungarian given name derived from the Latin name Laurentius, commonly used for males in Hungary.
  • 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: Laszlo
Triple: [Laszlo Halasz, givenName, Laszlo]
Generated description
Laszlo is a masculine given name of Hungarian origin, commonly borne by notable figures in fields such as art, science, and music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laszlo
Target entity description: Laszlo is a masculine given name of Hungarian origin, commonly borne by notable figures in fields such as art, science, and music.
  • A. Zoltán
    Zoltán was an early medieval Hungarian ruler, traditionally regarded as one of the first princes of the Principality of Hungary and a successor in the Árpád dynasty.
  • B. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • C. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • D. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • E. Lóránt
    Lóránt is a Hungarian given name derived from the Latin name Laurentius, commonly used for males in Hungary.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a81ac4819084a07625b8ed4ec5 completed April 21, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090b0b4e7081908cd82bdf8f8544af completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090d4ae67c8190ad32f284088e1e39 completed May 17, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_6a090e08c9348190a8b707e23da926db completed May 17, 2026, 12:38 a.m.
Created at: April 16, 2026, 12:44 p.m.