Triple
T3240148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downhill |
E67946
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Zach Woods |
E226118
|
NE FINISHED |
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: Zach Woods | Statement: [Downhill, starring, Zach Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zach Woods Context triple: [Downhill, starring, Zach Woods]
-
A.
Zach Woods
chosen
Zach Woods is an American actor and comedian best known for his roles on television series such as "The Office," "Silicon Valley," and "Avenue 5."
-
B.
Zach Staenberg
Zach Staenberg is an American film editor best known for his Academy Award–winning work on "The Matrix" and its sequels.
-
C.
Charlie Day
Charlie Day is an American actor, comedian, writer, and producer best known for his manic, high-energy performances in projects like the sitcom "It's Always Sunny in Philadelphia" and various film comedies.
-
D.
Jonah Hill
Jonah Hill is an American actor, comedian, and filmmaker known for his roles in films such as Superbad, Moneyball, and The Wolf of Wall Street.
-
E.
Nat Faxon
Nat Faxon is an American actor, comedian, screenwriter, and director known for co-writing the Oscar-winning film "The Descendants" and co-directing character-driven comedies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef6430081909084589f6eea5c7e |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28eadeff481909bd48cdf51044f86 |
completed | March 12, 2026, 10 a.m. |
Created at: March 8, 2026, 3:08 p.m.