Triple
T18140095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRM |
E434237
|
entity |
| Predicate | nextAlbum |
P23879
|
FINISHED |
| Object | Stage Whisper |
—
|
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: Stage Whisper | Statement: [IRM, nextAlbum, Stage Whisper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stage Whisper Context triple: [IRM, nextAlbum, Stage Whisper]
-
A.
Stage Whisper
chosen
Stage Whisper is a 2011 double album by French-British artist Charlotte Gainsbourg that combines live recordings with previously unreleased studio tracks, blending indie pop, rock, and experimental sounds.
-
B.
Whispering
"Whispering" is a popular early 20th-century American popular song and jazz standard that has been widely recorded and adapted by numerous artists.
-
C.
Whisper
Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
-
D.
Whisper
Whisper is a henchman and assassin in the James Bond film "Live and Let Die," known for working under the villain Dr. Kananga.
-
E.
Whisper
Whisper is a feminine hygiene brand of sanitary napkins and related products owned by Procter & Gamble and sold in various international markets.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.