Triple
T20544018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Gideon Fell series |
E504417
|
entity |
| Predicate | hasWork |
P6260
|
FINISHED |
| Object | He Who Whispers |
—
|
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: He Who Whispers | Statement: [Dr. Gideon Fell series, hasWork, He Who Whispers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Who Whispers Context triple: [Dr. Gideon Fell series, hasWork, He Who Whispers]
-
A.
He Who Whispers
chosen
He Who Whispers is a classic locked-room mystery novel by John Dickson Carr featuring his sleuth Dr. Gideon Fell and renowned for its eerie atmosphere and ingenious impossible-crime puzzle.
-
B.
Whisper
Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
-
C.
Whisper
Whisper is a feminine hygiene brand of sanitary napkins and related products owned by Procter & Gamble and sold in various international markets.
-
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 2007 supernatural horror film in which a botched kidnapping leads to terrifying events surrounding a mysterious young boy.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2957c308190aab81127f82f8aa6 |
completed | April 20, 2026, 10:03 p.m. |
Created at: April 16, 2026, 11:38 a.m.