Triple
T26360422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India (fictional context) |
E660185
|
entity |
| Predicate | appearsInWorkFeaturing |
P32051
|
FINISHED |
| Object | Vasco Miranda |
—
|
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: Vasco Miranda | Statement: [India (fictional context), appearsInWorkFeaturing, Vasco Miranda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInWorkFeaturing Context triple: [India (fictional context), appearsInWorkFeaturing, Vasco Miranda]
-
A.
notableWorkFeaturing
Indicates that a particular notable work (such as a book, film, or artwork) prominently includes, showcases, or is centered around a given entity.
-
B.
appearsInWorkDirector
Indicates that an entity appears in a creative work in which the associated director is responsible for directing that work.
-
C.
portrayedInWork
chosen
Indicates that an entity is depicted or represented as a character, figure, or subject within a specific creative work.
-
D.
settingOfWorkFeaturedIn
Indicates that a place or environment serves as the primary setting where the events of a creative work take place.
-
E.
portraysInWork
Indicates that one entity depicts, represents, or plays the role of another entity within a specific creative work.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 26, 2026, 10:51 p.m.