Triple

T10734182
Position Surface form Disambiguated ID Type / Status
Subject Argo Records E253148 entity
Predicate associatedWith P37 FINISHED
Object Lorez Alexandria
Lorez Alexandria was an American jazz and gospel singer known for her rich, soulful voice and sophisticated phrasing.
E883530 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: Lorez Alexandria | Statement: [Argo Records, associatedWith, Lorez Alexandria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorez Alexandria
Context triple: [Argo Records, associatedWith, Lorez Alexandria]
  • A. Louros
    Louros is a town in northwestern Greece situated near the Louros River in the region of Epirus.
  • B. Elissar
    Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
  • C. Nayel
    Nayel is a masculine given name, notably borne by Egyptian-American professional show jumping rider Nayel Nassar.
  • D. Eldaah
    Eldaah is a minor biblical figure listed in the Hebrew Bible as one of the descendants of Abraham through his wife Keturah.
  • E. Naglaa
    Naglaa is an Arabic feminine given name commonly used in Egypt and other Arabic-speaking countries.
  • 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: Lorez Alexandria
Triple: [Argo Records, associatedWith, Lorez Alexandria]
Generated description
Lorez Alexandria was an American jazz and gospel singer known for her rich, soulful voice and sophisticated phrasing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorez Alexandria
Target entity description: Lorez Alexandria was an American jazz and gospel singer known for her rich, soulful voice and sophisticated phrasing.
  • A. Louros
    Louros is a town in northwestern Greece situated near the Louros River in the region of Epirus.
  • B. Elissar
    Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
  • C. Nayel
    Nayel is a masculine given name, notably borne by Egyptian-American professional show jumping rider Nayel Nassar.
  • D. Eldaah
    Eldaah is a minor biblical figure listed in the Hebrew Bible as one of the descendants of Abraham through his wife Keturah.
  • E. Naglaa
    Naglaa is an Arabic feminine given name commonly used in Egypt and other Arabic-speaking countries.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71020e1c881909e40f398de2bdd25 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22bb62e481909544c87801012df3 completed April 14, 2026, 11:19 a.m.
NEDg Description generation batch_69de271ca4f081908d78a20b25ebd25c completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2ccee0cc8190acd24d5c225f7cde completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:14 p.m.