Triple
T2644544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dumbo (2019 film) |
E62952
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Michael Keaton |
E68988
|
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: Michael Keaton | Statement: [Dumbo (2019 film), stars, Michael Keaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Keaton Context triple: [Dumbo (2019 film), stars, Michael Keaton]
-
A.
Michael Keaton
chosen
Michael Keaton is an American actor known for his versatile performances in films such as "Batman," "Beetlejuice," and the Academy Award–winning "Birdman."
-
B.
Jonathan Irons
Jonathan Irons is an American man whose wrongful conviction and eventual release from prison drew national attention, in part due to the advocacy and later marriage of WNBA star Maya Moore.
-
C.
Adam West
Adam West was an American actor best known for his iconic portrayal of Batman in the 1960s television series.
-
D.
Christopher Lloyd
Christopher Lloyd is an American actor best known for his eccentric and memorable roles in film and television, including the time-traveling scientist Doc Brown in the "Back to the Future" trilogy.
-
E.
Kevin Frakes
Kevin Frakes is a film producer known for his work on the critically acclaimed horror movie "Hereditary" and other independent and genre films.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd917192081908e7a2cf780a17b83 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb672731881909f7df113a279e1a5 |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:53 p.m.