Triple
T17479225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under the Silver Lake |
E425613
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Andrew Garfield |
—
|
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: Andrew Garfield | Statement: [Under the Silver Lake, castMember, Andrew Garfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Garfield Context triple: [Under the Silver Lake, castMember, Andrew Garfield]
-
A.
Andrew Garfield
chosen
Andrew Garfield is an acclaimed British-American actor known for roles in films such as "The Social Network" and "The Amazing Spider-Man" series.
-
B.
Andy Garfield
Andy Garfield is a composer and musician known for creating the musical score for the film "Hatchet."
-
C.
Todd Holland
Todd Holland is an American television and film director best known for his work on acclaimed comedy series such as "Malcolm in the Middle" and "The Larry Sanders Show."
-
D.
Tom Hollander
Tom Hollander is an English actor known for his versatile performances in film, television, and theatre, including roles in "In the Loop," "Pride & Prejudice," and the series "Rev."
-
E.
Luke Redmayne
Luke Redmayne is the son of English actor Eddie Redmayne and his wife Hannah Bagshawe.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451be5fd08190aeaa12b3a6d6c6d4 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.