Triple
T2142839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Story 3 |
E46998
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | John Morris |
E236463
|
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 Morris | Statement: [Toy Story 3, voiceActor, John Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Morris Context triple: [Toy Story 3, voiceActor, John Morris]
-
A.
John Morris
chosen
John Morris is an American voice actor best known for voicing Andy Davis in the Toy Story film series.
-
B.
Jim Morris
Jim Morris is an American film producer and executive best known for his work at Pixar Animation Studios, including producing the acclaimed animated film WALL-E.
-
C.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
D.
Ed Thompson
Ed Thompson is a key character in the 2011 horror-comedy film "Fright Night," portrayed as the protagonist's nerdy best friend who first uncovers the truth about their vampire neighbor.
-
E.
Ken Walters
Ken Walters is a distinguished scientist in the field of rheology, recognized for his influential research on the flow and deformation of complex fluids.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe206db0819095772af5358dca55 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae653677ec8190ab0b044e005a9947 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:44 p.m.