Triple
T1982445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La La Land |
E43057
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Emma Stone |
E26691
|
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: Emma Stone | Statement: [La La Land, stars, Emma Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Stone Context triple: [La La Land, stars, Emma Stone]
-
A.
Emma Stone
chosen
Emma Stone is an American actress acclaimed for her versatile performances in films such as "La La Land," for which she won the Academy Award for Best Actress.
-
B.
Anna Kendrick
Anna Kendrick is an American actress and singer known for her versatile performances in films such as "Pitch Perfect," "Up in the Air," and the musical fantasy "Into the Woods."
-
C.
Zooey Deschanel
Zooey Deschanel is an American actress, singer, and songwriter known for her quirky, offbeat roles in films like "500 Days of Summer" and the TV series "New Girl."
-
D.
Kristen Bell
Kristen Bell is an American actress and singer best known for her roles in the TV series "Veronica Mars" and "The Good Place," as well as her voice work in Disney animated films.
-
E.
Olivia Wilde
Olivia Wilde is an American actress and filmmaker known for her roles in film and television, including the medical drama "House" and for directing the acclaimed film "Booksmart."
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb81f5dac8190b5223fe2d59ee0d4 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae032e1f648190acb502b9f82fe8c2 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:37 p.m.