Triple
T14888893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Hodgkin |
E359699
|
entity |
| Predicate | hasWork |
P6260
|
FINISHED |
| Object | Rain |
E443883
|
NE FINISHED |
How this triple was built (2 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: [Gordon Hodgkin, hasWork, Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rain Context triple: [Gordon Hodgkin, hasWork, Rain]
-
A.
Rain
Rain is a South Korean singer and actor known internationally for his music career and roles in films and television dramas.
-
B.
Rain
chosen
"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.
-
C.
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.
-
D.
Rain
"Rain" is a 1932 American pre-Code drama film starring Walter Huston, based on W. Somerset Maugham’s short story about moral conflict and temptation in the South Seas.
-
E.
Rain
"Rain" is a track from Kanye West's gospel-influenced album *Jesus Is Born*, performed by the Sunday Service Choir.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f6cf5c8190b6b28f58fafe5d59 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5f22c08190a9530cbd78cfc801 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 2:09 a.m.