Triple

T507444
Position Surface form Disambiguated ID Type / Status
Subject Albert E10531 entity
Predicate isCognateWith P2527 FINISHED
Object Alberto
Alberto is a masculine given name common in Romance-language countries, derived from the Germanic name Albert and sharing its meaning of "noble" or "bright."
E65543 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: Alberto | Statement: [Albert, isCognateWith, Alberto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alberto
Context triple: [Albert, isCognateWith, Alberto]
  • A. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • C. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • D. Achille Compagnoni
    Achille Compagnoni was an Italian mountaineer best known for co-leading the first successful ascent of K2 in 1954.
  • E. Lino Lacedelli
    Lino Lacedelli was an Italian mountaineer best known for being one of the first climbers to reach the summit of K2 in 1954.
  • 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: Alberto
Triple: [Albert, isCognateWith, Alberto]
Generated description
Alberto is a masculine given name common in Romance-language countries, derived from the Germanic name Albert and sharing its meaning of "noble" or "bright."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alberto
Target entity description: Alberto is a masculine given name common in Romance-language countries, derived from the Germanic name Albert and sharing its meaning of "noble" or "bright."
  • A. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • C. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • D. Achille Compagnoni
    Achille Compagnoni was an Italian mountaineer best known for co-leading the first successful ascent of K2 in 1954.
  • E. Lino Lacedelli
    Lino Lacedelli was an Italian mountaineer best known for being one of the first climbers to reach the summit of K2 in 1954.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f14dcd688190ad47a3b31b95b6d4 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b23bf69481908db3a0f3de8c2bf1 completed March 1, 2026, 9:40 p.m.
NEDg Description generation batch_69a4b2c975ec8190bc16f146f89c3f05 completed March 1, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69a4b343f8f88190bd011924dd485bef completed March 1, 2026, 9:44 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.