Triple

T10192706
Position Surface form Disambiguated ID Type / Status
Subject Firmin E238077 entity
Predicate hasCognate P2525 FINISHED
Object Fermin
Fermin is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and associated with the name Firmin.
E847271 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: Fermin | Statement: [Firmin, hasCognate, Fermin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fermin
Context triple: [Firmin, hasCognate, Fermin]
  • A. Fermi
    Fermi is a renowned Italian surname most famously associated with physicist Enrico Fermi, a pioneer of nuclear physics and Nobel Prize laureate.
  • B. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • C. Ferro
    Ferro is an alternative name for El Hierro, the smallest and westernmost of Spain’s Canary Islands in the Atlantic Ocean.
  • D. Ferdl
    Ferdl is a German diminutive form of the male given name Ferdinand, commonly used as an affectionate nickname.
  • E. Darvin
    Darvin is a masculine given name most notably borne by former NBA player and current basketball coach Darvin Ham.
  • 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: Fermin
Triple: [Firmin, hasCognate, Fermin]
Generated description
Fermin is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and associated with the name Firmin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fermin
Target entity description: Fermin is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and associated with the name Firmin.
  • A. Fermi
    Fermi is a renowned Italian surname most famously associated with physicist Enrico Fermi, a pioneer of nuclear physics and Nobel Prize laureate.
  • B. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • C. Ferro
    Ferro is an alternative name for El Hierro, the smallest and westernmost of Spain’s Canary Islands in the Atlantic Ocean.
  • D. Ferdl
    Ferdl is a German diminutive form of the male given name Ferdinand, commonly used as an affectionate nickname.
  • E. Darvin
    Darvin is a masculine given name most notably borne by former NBA player and current basketball coach Darvin Ham.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc4fb808190aae2e4b84be96f83 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317ca2cf481909cf715ef9248be3c completed April 6, 2026, 2:17 a.m.
NEDg Description generation batch_69d3188886908190ba0a5539ce942980 completed April 6, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69d31c4fb8288190bbc6b3d4a79dafb1 completed April 6, 2026, 2:37 a.m.
Created at: March 30, 2026, 9:13 p.m.