Triple
T24305349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bingo and the Little Woman |
E612518
|
entity |
| Predicate | hasComicFocusOn |
P31
|
FINISHED |
| Object | Bingo Little’s love life |
—
|
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: Bingo Little’s love life | Statement: [Bingo and the Little Woman, hasComicFocusOn, Bingo Little’s love life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComicFocusOn Context triple: [Bingo and the Little Woman, hasComicFocusOn, Bingo Little’s love life]
-
A.
hasComicSeries
Indicates that one entity is the comic series to which another entity belongs or with which it is associated.
-
B.
hasComicStyle
Indicates that one entity is characterized by, presented in, or associated with a particular comic or cartoon-like visual style defined by the other entity.
-
C.
hasPublishingFocus
Indicates that an entity (such as a publisher or imprint) is oriented toward or specializes in a particular subject area, genre, or type of content in its publishing activities.
-
D.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
E.
hasEditorialFocus
Indicates that an entity (such as a publication or section) is primarily concerned with or oriented around a particular editorial topic, theme, or subject area.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922641bc81908fa3595941e60741 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:30 a.m.