Triple

T14053255
Position Surface form Disambiguated ID Type / Status
Subject Leander E338145 entity
Predicate hasCognate P2525 FINISHED
Object Leandre
Leandre is a French given name, cognate with Leander, traditionally associated with romantic and classical literary figures.
E1078842 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: Leandre | Statement: [Leander, hasCognate, Leandre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leandre
Context triple: [Leander, hasCognate, Leandre]
  • A. Juprelle
    Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
  • B. Merlav
    Merlav is a small island and Oceanic language community in Vanuatu, known for its distinct Mwerlap language and culture.
  • C. Demarete
    Demarete was a 5th-century BCE Greek queen of Syracuse, known as the wife of the tyrant Gelon and remembered for her political influence and legendary generosity after the Battle of Himera.
  • D. Desariee
    Desariee is the given first name of American actress Scout Taylor-Compton, known for her roles in horror films such as the "Halloween" remakes.
  • E. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • 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: Leandre
Triple: [Leander, hasCognate, Leandre]
Generated description
Leandre is a French given name, cognate with Leander, traditionally associated with romantic and classical literary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leandre
Target entity description: Leandre is a French given name, cognate with Leander, traditionally associated with romantic and classical literary figures.
  • A. Juprelle
    Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
  • B. Merlav
    Merlav is a small island and Oceanic language community in Vanuatu, known for its distinct Mwerlap language and culture.
  • C. Demarete
    Demarete was a 5th-century BCE Greek queen of Syracuse, known as the wife of the tyrant Gelon and remembered for her political influence and legendary generosity after the Battle of Himera.
  • D. Desariee
    Desariee is the given first name of American actress Scout Taylor-Compton, known for her roles in horror films such as the "Halloween" remakes.
  • E. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8bc54c8190a12f0fc056568538 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb65e63b48190bd5bd4a36cd15396 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc76f99808190945fd3621fc183ff completed May 7, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_69fcc807cdc48190a3b9dd940d17dc83 completed May 7, 2026, 5:12 p.m.
Created at: April 9, 2026, 10:20 p.m.