Triple
T11983346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raya and the Last Dragon |
E285212
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | John Ripa |
E958219
|
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: John Ripa | Statement: [Raya and the Last Dragon, storyBy, John Ripa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Ripa Context triple: [Raya and the Last Dragon, storyBy, John Ripa]
-
A.
John Ripa
chosen
John Ripa is an American animator and film director best known for co-directing Disney's animated feature "Raya and the Last Dragon."
-
B.
Michael Strahan
Michael Strahan is a former NFL defensive end, best known for his dominant career with the New York Giants and subsequent work as a television personality and host.
-
C.
Allen Ludden
Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
-
D.
Jeremy Sisto
Jeremy Sisto is an American actor known for his roles in film and television, including prominent parts in projects like the teen comedy "Clueless" and the crime drama series "Law & Order."
-
E.
Ben Marino
Ben Marino is a character in the musical "Fiorello!" who serves as a politically savvy associate within the world of New York City machine politics.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48aa73458819097a69b371350743c |
completed | May 1, 2026, 11:12 a.m. |
Created at: April 8, 2026, 9:46 p.m.