Triple
T12530919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Between the Devil and the Deep Blue Sea |
E299559
|
entity |
| Predicate | hasTitlePhraseOrigin |
P8466
|
FINISHED |
| Object | English idiom "between the devil and the deep blue sea" |
—
|
LITERAL 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: English idiom "between the devil and the deep blue sea" | Statement: [Between the Devil and the Deep Blue Sea, hasTitlePhraseOrigin, English idiom "between the devil and the deep blue sea"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitlePhraseOrigin Context triple: [Between the Devil and the Deep Blue Sea, hasTitlePhraseOrigin, English idiom "between the devil and the deep blue sea"]
-
A.
hasTitleEtymology
chosen
Indicates that the origin or derivation of a title is based on, or explained by, another term, name, or linguistic source.
-
B.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
-
C.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
D.
titlePhrase
Indicates that one entity is a phrase functioning as the title or name of another entity.
-
E.
hasTitleInRevisedRomanization
Indicates that an entity has a specific title expressed using the Revised Romanization system for Korean.
- F. None of above.
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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.