Triple
T10322965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rain Phoenix |
E242685
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rain |
E509660
|
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: [Rain Phoenix, givenName, Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rain Context triple: [Rain Phoenix, 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
chosen
Rain is a surname shared by various individuals, including those in the entertainment industry such as actress and writer Jeramie Rain.
-
C.
Rain
Rain is a small town in the Straubing-Bogen district of Bavaria, Germany, known for its rural character and location in the Lower Bavarian region.
-
D.
Rain
Rain is a South Korean singer and actor known internationally for his music career and roles in films and television dramas.
-
E.
Rain
Rain is a form of precipitation in which liquid water droplets fall from clouds to the Earth's surface.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cdb6cc8190b37ca4494287128b |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da2053481908fe5ed097b480cdd |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:50 a.m.