Triple
T14568151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lakes |
E341839
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Wil Johnson |
E900695
|
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: Wil Johnson | Statement: [The Lakes, starring, Wil Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wil Johnson Context triple: [The Lakes, starring, Wil Johnson]
-
A.
Wil Johnson
chosen
Wil Johnson is a British actor known for his work in television dramas such as "Waking the Dead," "Waterloo Road," and "Emmerdale."
-
B.
Greg Johnson
Greg Johnson is a television writer and producer best known for co-creating the animated series "Pacific Rim: The Black" and his work on various Marvel animated shows.
-
C.
Greg Johnson
Greg Johnson is a video game designer best known as the co-creator of the cult-classic Sega franchise ToeJam & Earl.
-
D.
Frank Whaley
Frank Whaley is an American actor, director, and screenwriter known for his roles in films such as "Pulp Fiction," "Swimming with Sharks," and numerous independent movies.
-
E.
Jeff Johnson
Jeff Johnson is an early Nike employee and pioneering shoe salesman credited with helping build the company’s brand and athlete relationships, as recounted in Phil Knight’s memoir "Shoe Dog."
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91437e08190a41683f1777a8507 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:23 a.m.