Triple
T19521068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fun Size |
E488401
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Josh Schwartz |
—
|
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: Josh Schwartz | Statement: [Fun Size, director, Josh Schwartz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Schwartz Context triple: [Fun Size, director, Josh Schwartz]
-
A.
Josh Schwartz
Josh Schwartz is an American television writer and producer best known for creating popular teen dramas such as The O.C., Gossip Girl, and co-creating Marvel’s Runaways.
-
B.
Scott Schwartz
Scott Schwartz is an American former child actor best known for his roles in the films "The Toy" and "A Christmas Story."
-
C.
Warren Leight
Warren Leight is an American television writer, producer, and playwright best known for his leadership and storytelling on crime and legal drama series.
-
D.
Mitchell Hurwitz
Mitchell Hurwitz is an American television writer and producer best known for creating the critically acclaimed sitcom "Arrested Development."
-
E.
Brad Silberling
chosen
Brad Silberling is an American film and television director known for movies such as "City of Angels," "Casper," and "Lemony Snicket's A Series of Unfortunate Events."
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635a0b37c8190b70b7427c2e85f59 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.