Triple
T28101175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Andy Warhol Diaries |
E710239
|
entity |
| Predicate | basedOnEditor |
P81885
|
FINISHED |
| Object | Pat Hackett |
—
|
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: Pat Hackett | Statement: [The Andy Warhol Diaries, basedOnEditor, Pat Hackett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnEditor Context triple: [The Andy Warhol Diaries, basedOnEditor, Pat Hackett]
-
A.
basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
-
B.
intendedEditor
Indicates that one entity is designated or expected to act as the editor of another entity (such as a document, work, or content).
-
C.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
D.
basedOnWorkEdited
chosen
Indicates that one entity is derived from, adapted from, or otherwise created on the basis of a work that another entity has edited.
-
E.
basedOnAuthor
Indicates that one entity is derived from, inspired by, or otherwise created on the basis of the work or contributions of a particular author.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 27, 2026, 9:05 p.m.