Triple
T1108002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into the Woods (2014 film) |
E25529
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Johnny Depp |
E18986
|
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: Johnny Depp | Statement: [Into the Woods (2014 film), stars, Johnny Depp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Depp Context triple: [Into the Woods (2014 film), stars, Johnny Depp]
-
A.
Johnny Depp
chosen
Johnny Depp is an American actor known for his eclectic, often eccentric roles in films such as the "Pirates of the Caribbean" series, "Edward Scissorhands," and numerous collaborations with director Tim Burton.
-
B.
Nicolas Cage
Nicolas Cage is an American actor known for his intense and eclectic performances across action, drama, and independent films.
-
C.
Val Kilmer
Val Kilmer is an American actor known for his versatile performances in films such as "Top Gun," "The Doors," and "Batman Forever."
-
D.
Guy Pearce
Guy Pearce is an Australian actor known for his versatile performances in films such as "Memento," "L.A. Confidential," and "The King's Speech."
-
E.
Burn Gorman
Burn Gorman is a British-American actor known for his character roles in film and television, including appearances in projects like "Torchwood," "Game of Thrones," and "Pacific Rim."
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e47e4881908928900df72781f0 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c4cee1881909ca8af01f22bb8bb |
completed | March 7, 2026, 4:03 p.m. |
Created at: March 1, 2026, 7:43 p.m.