Triple
T4579283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowden (2016 film) |
E101813
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Lee Percy |
E197240
|
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: Lee Percy | Statement: [Snowden (2016 film), editor, Lee Percy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Percy Context triple: [Snowden (2016 film), editor, Lee Percy]
-
A.
Lee Percy
chosen
Lee Percy is a film editor known for his work on feature films such as "The Mountain Between Us."
-
B.
Greg Corbin
Greg Corbin is a character from the animated television series "American Dad!", known as Stan Smith’s liberal, openly gay neighbor and local news anchor.
-
C.
Nat Pendleton
Nat Pendleton was an American Olympic wrestler-turned-character actor best known for his comic tough-guy roles in 1930s and 1940s Hollywood films.
-
D.
Mark Womack
Mark Womack is a British actor known for his work in television dramas such as "Liverpool 1" and "Murphy's Law."
-
E.
Cody Chesnutt
Cody Chesnutt is an American singer-songwriter and guitarist known for his raw, genre-blending soul, rock, and R&B music and his influential early-2000s work.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd58e3e028819083c4662deb9f3c03 |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3f532dc81909b6c464defada832 |
completed | March 20, 2026, 11:10 p.m. |
Created at: March 20, 2026, 1:10 p.m.