Triple
T27071023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Jonathan Swift |
E685325
|
entity |
| Predicate | depictsNotableWork |
P147574
|
FINISHED |
| Object | Gulliver’s Travels |
—
|
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: Gulliver’s Travels | Statement: [Portrait of Jonathan Swift, depictsNotableWork, Gulliver’s Travels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsNotableWork Context triple: [Portrait of Jonathan Swift, depictsNotableWork, Gulliver’s Travels]
-
A.
notableForDepicting
chosen
Indicates that something is recognized or distinguished specifically for portraying or representing a particular subject, theme, or scene.
-
B.
depictsAuthorOf
Indicates that one entity visually represents or portrays the person who is the author of another entity.
-
C.
hasNotableWorkDepiction
Indicates that an entity has a notable work in which it is depicted or represented.
-
D.
notableFeatureOfWork
Indicates that a particular feature, characteristic, or aspect is a notable or distinguishing element of a given work.
-
E.
notableWorkWith
Indicates a relationship where two or more entities are recognized for having collaborated on or been jointly associated with a significant work or project.
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 8:28 a.m.