Triple
T20239174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inside Out |
E498234
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Emmy Rossum |
—
|
NE NERFINISHED |
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: Emmy Rossum | Statement: [Inside Out, producer, Emmy Rossum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmy Rossum Context triple: [Inside Out, producer, Emmy Rossum]
-
A.
Emmy Rossum
chosen
Emmy Rossum is an American actress and singer best known for her role as Fiona Gallagher on the TV series "Shameless" and for her work in films such as "The Phantom of the Opera."
-
B.
Shailene Woodley
Shailene Woodley is an American actress known for her breakout role in "The Descendants" and for starring in films such as "The Fault in Our Stars" and the "Divergent" series.
-
C.
Kristen Stewart
Kristen Stewart is an American actress best known for her role as Bella Swan in the "Twilight" film series and for her acclaimed performances in independent and arthouse films.
-
D.
Hanna Langlet
Hanna Langlet was a 19th-century Swedish woman known primarily as the wife of architect Emil Victor Langlet.
-
E.
Jena Malone
Jena Malone is an American actress and musician known for her versatile roles in independent films and major franchises such as "Donnie Darko," "Pride & Prejudice," and "The Hunger Games" series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716c8de88190916bfa1d6b7f79cb |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.