Triple

T2906906
Position Surface form Disambiguated ID Type / Status
Subject Francisco E62786 entity
Predicate hasCognate P2525 FINISHED
Object Ferenc (Hungarian)
Ferenc is the Hungarian given name equivalent to Francisco, commonly used as a male first name in Hungary.
 E310384 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: Ferenc (Hungarian) | Statement: [Francisco, hasCognate, Ferenc (Hungarian)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ferenc (Hungarian)
Context triple: [Francisco, hasCognate, Ferenc (Hungarian)]
  • A. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • B. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • C. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • D. Sándor
    Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
  • E. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • 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: Ferenc (Hungarian)
Triple: [Francisco, hasCognate, Ferenc (Hungarian)]
Generated description
Ferenc is the Hungarian given name equivalent to Francisco, commonly used as a male first name in Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ferenc (Hungarian)
Target entity description: Ferenc is the Hungarian given name equivalent to Francisco, commonly used as a male first name in Hungary.
  • A. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • B. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • C. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • D. Sándor
    Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
  • E. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0d0628c81909680af2f0db2ecae completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b05612e79081908c962c2fe2e362d6 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b0622ea7b081908fe2029e61e21766 completed March 10, 2026, 6:25 p.m.
NED2 Entity disambiguation (via description) batch_69b0630cd0348190882a4d3d90b217c3 completed March 10, 2026, 6:29 p.m.
Created at: March 6, 2026, 10:11 p.m.