Triple
T18015456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peewee |
E430987
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Charles Leifer |
—
|
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: Charles Leifer | Statement: [Peewee, developer, Charles Leifer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Leifer Context triple: [Peewee, developer, Charles Leifer]
-
A.
Charles Leifer
chosen
Charles Leifer is a software developer best known for creating the Peewee ORM and founding the documentation hosting platform Read the Docs.
-
B.
Charles Leickert
Charles Leickert was a 19th-century Dutch painter renowned for his atmospheric winter landscapes and cityscapes of the Netherlands.
-
C.
Charles Leavitt
Charles Leavitt is an American screenwriter best known for writing the screenplay for the film "Blood Diamond."
-
D.
Anthony Kilhoffer
Anthony Kilhoffer is a Grammy-winning American record producer and audio engineer known for his extensive work with artists like Kanye West and other major hip-hop and pop acts.
-
E.
Charles Hinshaw
Charles Hinshaw is a writer best known for his work on the film "Needed Me."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b523f588819097389e067dda7f23 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.