Triple
T2436640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mervyn LeRoy |
E52975
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Little Caesar |
E265918
|
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: Little Caesar | Statement: [Mervyn LeRoy, directed, Little Caesar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Caesar Context triple: [Mervyn LeRoy, directed, Little Caesar]
-
A.
Little Caesar
chosen
"Little Caesar" is a 1931 American pre-Code gangster film, widely regarded as one of the earliest and most influential entries in the gangster genre.
-
B.
Mystic Pizza
Mystic Pizza is a 1988 American romantic comedy-drama film best known for featuring one of Julia Roberts’ early breakout performances.
-
C.
Gigolo Joe
Gigolo Joe is a charming, hyper-stylized male-prostitute android character from Steven Spielberg’s science fiction film "A.I. Artificial Intelligence."
-
D.
Spaccanapoli
Spaccanapoli is a famous narrow street in the historic center of Naples, Italy, known for slicing through the old city and showcasing its vibrant local life, architecture, and traditions.
-
E.
Balducci
Balducci is a member of the group or organization known as The Network.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9cd49b48190bff10a5ab7cef483 |
completed | March 7, 2026, 6:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0ad31b8819084813b65b46bc9fc |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:43 p.m.