Triple
T5650310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rain Pryor |
E124489
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Rain
Rain is a form of precipitation in which liquid water droplets fall from clouds to the Earth's surface.
|
E535327
|
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: Rain | Statement: [Rain Pryor, givenName, Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rain Context triple: [Rain Pryor, givenName, Rain]
-
A.
Rain
Rain is a central character in Toni Morrison’s novel "God Help the Child," whose presence and experiences help explore themes of trauma, identity, and healing.
-
B.
Rain
Rain is a South Korean singer and actor known internationally for his music career and roles in films and television dramas.
-
C.
Rain
"Rain" is an abstract, emotionally charged painting by British artist Howard Hodgkin, known for its vibrant colors and gestural brushwork evocative of weather and memory.
-
D.
Rain
"Rain" is a 1921 short story by W. Somerset Maugham, renowned for its intense psychological drama set in the South Pacific and its exploration of morality, sexuality, and religious hypocrisy.
-
E.
Rain
Rain is a surname shared by various individuals, including those in the entertainment industry such as actress and writer Jeramie Rain.
- 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: Rain Triple: [Rain Pryor, givenName, Rain]
Generated description
Rain is a form of precipitation in which liquid water droplets fall from clouds to the Earth's surface.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rain Target entity description: Rain is a form of precipitation in which liquid water droplets fall from clouds to the Earth's surface.
-
A.
Rain
Rain is a central character in Toni Morrison’s novel "God Help the Child," whose presence and experiences help explore themes of trauma, identity, and healing.
-
B.
Rain
Rain is a South Korean singer and actor known internationally for his music career and roles in films and television dramas.
-
C.
Rain
"Rain" is an abstract, emotionally charged painting by British artist Howard Hodgkin, known for its vibrant colors and gestural brushwork evocative of weather and memory.
-
D.
Rain
"Rain" is a 1921 short story by W. Somerset Maugham, renowned for its intense psychological drama set in the South Pacific and its exploration of morality, sexuality, and religious hypocrisy.
-
E.
Rain
Rain is a surname shared by various individuals, including those in the entertainment industry such as actress and writer Jeramie Rain.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d4ca788190b20168b20cb1d030 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d90c04881908740fb1089c5248a |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04edcc0208190bd69b5cce89596f9 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04ff814b88190ad01844ae2629c6e |
completed | March 22, 2026, 8:24 p.m. |
Created at: March 22, 2026, 3:42 p.m.