Triple
T5067452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uzo Aduba |
E114177
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | Lightyear |
E375660
|
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: Lightyear | Statement: [Uzo Aduba, performedIn, Lightyear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lightyear Context triple: [Uzo Aduba, performedIn, Lightyear]
-
A.
Lightyear
chosen
Lightyear is a 2022 Pixar animated science-fiction film that serves as the in-universe origin story of the Buzz Lightyear character from the Toy Story franchise.
-
B.
Tomorrowland
Tomorrowland is a futuristic-themed land found in several Disney parks, featuring attractions and environments inspired by space travel, advanced technology, and visions of the future.
-
C.
Tomorrowland
Tomorrowland is one of the world’s largest and most famous electronic dance music festivals, held annually in Boom, Belgium.
-
D.
Onward
Onward is a 2020 Pixar animated fantasy film that follows two elf brothers on a magical quest to briefly bring back their deceased father.
-
E.
Ad Astra
Ad Astra is a 2019 science fiction film starring Brad Pitt as an astronaut on a psychological and physical journey through space to uncover the truth about his missing father.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749bf69c819093e75dce56f1c0ab |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4a027a88190a515a374e5405d8a |
completed | March 21, 2026, 2:01 p.m. |
Created at: March 20, 2026, 1:38 p.m.