Triple
T33465641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan J. Frog |
E857033
|
entity |
| Predicate | writerOfDebut |
P176656
|
FINISHED |
| Object | Michael Maltese |
—
|
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: Michael Maltese | Statement: [Michigan J. Frog, writerOfDebut, Michael Maltese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writerOfDebut Context triple: [Michigan J. Frog, writerOfDebut, Michael Maltese]
-
A.
literarySeriesDebut
Indicates the work in which a literary series first appeared or was initially introduced.
-
B.
editorOfFirstBookPublication
Indicates that a person or entity served as the editor for the first published edition of a specific book.
-
C.
debutWorkReleaseYear
Indicates the calendar year in which an entity’s first published or publicly released work originally came out.
-
D.
debutWork
Indicates the work (such as a book, film, album, or performance) that marks an entity’s first public or professional appearance in a given field.
-
E.
debutTitleOf
Indicates that one entity is the first work (e.g., book, album, film) with which another entity made its debut.
- F. None of above. chosen
Provenance (4 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52a6d40819084472f6072c91e9f |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:37 a.m.