Triple
T17963836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Rattle |
E449150
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rattle |
—
|
NE NERFINISHED |
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: Rattle | Statement: [Simon Rattle, familyName, Rattle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rattle Context triple: [Simon Rattle, familyName, Rattle]
-
A.
Rattle
chosen
Rattle is the surname of Sir Simon Rattle, the renowned British conductor known for leading major orchestras such as the Berlin Philharmonic and the London Symphony Orchestra.
-
B.
Rattly
Rattly is a springy rattlesnake animal buddy in the Donkey Kong Country series who helps the Kongs reach high places with his powerful jumps.
-
C.
The Roller
"The Roller" is a 2011 rock single by English band Beady Eye, noted for its Beatlesque sound and status as one of the group's best-known songs.
-
D.
The Rain Stick
The Rain Stick is a poem by Seamus Heaney that evokes themes of sound, nature, and renewal through the image of a traditional rain-making instrument.
-
E.
Plärrer
Plärrer is a major underground station and transport hub in Nuremberg’s U-Bahn network, serving as an important interchange point for multiple metro lines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b135cd2c8190a6190cf6611dbe08 |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.