Triple

T11223
Position Surface form Disambiguated ID Type / Status
Subject Andrew E228 entity
Predicate hasVariant P455 FINISHED
Object Andreas
Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
 E8082 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: Andreas | Statement: [Andrew, hasVariant, Andreas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andreas
Context triple: [Andrew, hasVariant, Andreas]
  • A. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • B. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • E. Andrei
    Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
  • 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: Andreas
Triple: [Andrew, hasVariant, Andreas]
Generated description
Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andreas
Target entity description: Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • A. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • B. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • E. Andrei
    Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a23ff415ec819082ba80ed3859b71e completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a262364cf48190b390bab67cee9312 completed Feb. 28, 2026, 3:34 a.m.
NEDg Description generation batch_69a262e524e88190854d3585d6694bc0 completed Feb. 28, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_69a26357a9d08190972bfc596be2baac completed Feb. 28, 2026, 3:39 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.