Triple

T13728588
Position Surface form Disambiguated ID Type / Status
Subject My Skarsgård E329729 entity
Predicate givenName P17 FINISHED
Object My
My is a Swedish physician and former actress best known as the mother of actors Alexander, Gustaf, Bill, and Valter Skarsgård.
 E1057077 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: My | Statement: [My Skarsgård, givenName, My]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: My
Context triple: [My Skarsgård, givenName, My]
  • A. MY
    MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
  • B. MY
    MY is the ISO 3166-1 alpha-2 country code for Malaysia, a Southeast Asian nation known for its diverse culture and rapidly developing economy.
  • C. Mi
    Mi is a sub-brand of Xiaomi used primarily for its line of consumer electronics and smart devices, including smartphones, TVs, and streaming boxes.
  • D. Mi
    Mi was the ancestral clan name of the royal house of the ancient Chinese state of Chu, to which King Zhuang of Chu belonged.
  • E. Mir mine
    Mir mine is a massive former open-pit diamond mine in Mirny, Siberia, notable as one of the world’s largest man-made excavations and a key site in the Soviet Union’s diamond industry.
  • 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: My
Triple: [My Skarsgård, givenName, My]
Generated description
My is a Swedish physician and former actress best known as the mother of actors Alexander, Gustaf, Bill, and Valter Skarsgård.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: My
Target entity description: My is a Swedish physician and former actress best known as the mother of actors Alexander, Gustaf, Bill, and Valter Skarsgård.
  • A. MY
    MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
  • B. MY
    MY is the ISO 3166-1 alpha-2 country code for Malaysia, a Southeast Asian nation known for its diverse culture and rapidly developing economy.
  • C. Mi
    Mi is a sub-brand of Xiaomi used primarily for its line of consumer electronics and smart devices, including smartphones, TVs, and streaming boxes.
  • D. Mi
    Mi was the ancestral clan name of the royal house of the ancient Chinese state of Chu, to which King Zhuang of Chu belonged.
  • E. Mir mine
    Mir mine is a massive former open-pit diamond mine in Mirny, Siberia, notable as one of the world’s largest man-made excavations and a key site in the Soviet Union’s diamond industry.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6302e081908e2680443852d9fd completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e77b5e88190a85f4061c8abb8a4 completed May 3, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f79fa5249481909b2c046ed9801371 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:55 p.m.