Triple
T23468039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stowaway |
E569148
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Joe Penna |
—
|
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: Joe Penna | Statement: [Stowaway, writer, Joe Penna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Penna Context triple: [Stowaway, writer, Joe Penna]
-
A.
Joe Penna
chosen
Joe Penna is a Brazilian filmmaker and former YouTube creator (known as MysteryGuitarMan) who transitioned into directing feature films such as the survival drama "Arctic."
-
B.
Joe Rinaldi
Joe Rinaldi was an American screenwriter and story artist best known for his work on classic Walt Disney animated films in the mid-20th century.
-
C.
Billy Paultz
Billy Paultz is a former American professional basketball center best known for his successful career in the ABA and NBA during the 1970s and early 1980s, where he was a multiple-time All-Star and key contributor to championship teams.
-
D.
Brian Mahoney
Brian Mahoney is an actor best known for his role in the cult crime film "The Boondock Saints."
-
E.
Chris Galletta
Chris Galletta is an American screenwriter best known for writing the coming-of-age comedy film "The Kings of Summer."
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.