Triple

T6554353
Position Surface form Disambiguated ID Type / Status
Subject Adrian Schrinner E152407 entity
Predicate givenName P17 FINISHED
Object Adrian
Adrian is a masculine given name of Latin origin, commonly used in many European and English-speaking countries.
 E600186 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: Adrian | Statement: [Adrian Schrinner, givenName, Adrian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adrian
Context triple: [Adrian Schrinner, givenName, Adrian]
  • A. Adrian
    Adrian was a renowned Hollywood costume designer best known for creating glamorous and influential fashions for classic MGM films of the 1930s and 1940s.
  • B. Adric
    Adric is a young, mathematically gifted alien companion of the Fourth and Fifth Doctors in the classic British science fiction series Doctor Who.
  • C. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • D. Alec
    Alec is the familiar nickname of Alec Douglas-Home, a British Conservative politician who served as Prime Minister of the United Kingdom from 1963 to 1964.
  • E. Alec
    Alec is a powerful vampire from the Twilight series, known as a member of the Volturi guard with the ability to cut off others’ senses.
  • 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: Adrian
Triple: [Adrian Schrinner, givenName, Adrian]
Generated description
Adrian is a masculine given name of Latin origin, commonly used in many European and English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adrian
Target entity description: Adrian is a masculine given name of Latin origin, commonly used in many European and English-speaking countries.
  • A. Adrian
    Adrian was a renowned Hollywood costume designer best known for creating glamorous and influential fashions for classic MGM films of the 1930s and 1940s.
  • B. Adric
    Adric is a young, mathematically gifted alien companion of the Fourth and Fifth Doctors in the classic British science fiction series Doctor Who.
  • C. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • D. Alec
    Alec is the familiar nickname of Alec Douglas-Home, a British Conservative politician who served as Prime Minister of the United Kingdom from 1963 to 1964.
  • E. Alec
    Alec is a powerful vampire from the Twilight series, known as a member of the Volturi guard with the ability to cut off others’ senses.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae0847d88190b38f9d7dba0faae1 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb862e308190af1028c76484a1ea completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd05c54c81908bb612e7976bd10a completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc3ea7c8190b63e9a19721fea80 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:51 p.m.