Triple
T31171847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pension Grillparzer |
E794626
|
entity |
| Predicate | embeddedInWork |
P127157
|
FINISHED |
| Object | The World According to Garp |
—
|
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: The World According to Garp | Statement: [The Pension Grillparzer, embeddedInWork, The World According to Garp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: embeddedInWork Context triple: [The Pension Grillparzer, embeddedInWork, The World According to Garp]
-
A.
workWithin
Indicates that one entity performs its activities or duties inside the boundaries, scope, or context defined by another entity.
-
B.
placeInWork
Indicates that one entity is located or occurs within the spatial or structural context of another entity in a work.
-
C.
establishedInWork
chosen
Indicates that something (such as a concept, character, organization, or rule) is first introduced, defined, or formally created within a particular work (e.g., a book, film, or other creative or scholarly work).
-
D.
usedInWork
Indicates that something (such as a concept, method, material, or component) is employed or applied within a particular work, project, or creation.
-
E.
involvedInWork
Indicates that an entity participates in, contributes to, or is otherwise engaged in a particular work, project, or activity.
- 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:07 p.m.