Triple
T20294500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Came from Outer Space |
E510111
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Joe Sawyer |
—
|
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 Sawyer | Statement: [It Came from Outer Space, starredActor, Joe Sawyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Sawyer Context triple: [It Came from Outer Space, starredActor, Joe Sawyer]
-
A.
Joe Sawyer
chosen
Joe Sawyer was a Canadian-born character actor known for his tough-guy roles in numerous American films and television shows from the 1930s through the 1960s.
-
B.
Josh Sawyer
Josh Sawyer is an American video game designer and director best known for his work on role-playing games such as Fallout: New Vegas and Pillars of Eternity.
-
C.
Luke Sawyer
Luke Sawyer is a fictional character from the television series "Pretty Little Liars," known as one of the roles portrayed by actor Brant Daugherty.
-
D.
Matt Sawyer
Matt Sawyer is a Canadian lacrosse coach best known for leading the Toronto Rock in the National Lacrosse League.
-
E.
Sid Sawyer
Sid Sawyer is Tom Sawyer’s well-behaved but tattling half-brother in Mark Twain’s classic novel "The Adventures of Tom Sawyer."
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67704262c8190bc903b733d849881 |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:13 a.m.