Triple
T3131140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert De Niro |
E65415
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mean Streets |
E48467
|
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: Mean Streets | Statement: [Robert De Niro, notableWork, Mean Streets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mean Streets Context triple: [Robert De Niro, notableWork, Mean Streets]
-
A.
Mean Streets
chosen
Mean Streets is a 1973 crime drama film directed by Martin Scorsese that became a landmark of the New Hollywood era for its gritty portrayal of small-time gangsters in New York City.
-
B.
Straight Time
"Straight Time" is a somber, narrative-driven song by Bruce Springsteen that reflects on the struggles of an ex-convict trying to rebuild his life after prison.
-
C.
Serpico
Serpico is a 1973 crime drama film based on the true story of NYPD officer Frank Serpico, who exposed widespread police corruption.
-
D.
L.A. Story
L.A. Story is a whimsical 1991 romantic comedy film set in Los Angeles, known for its surreal humor and satirical take on the city's culture, written by and starring Steve Martin.
-
E.
The Street
The Street is a British television drama series known for its gritty, character-driven stories set in a working-class neighborhood.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada54b0e688190b691771f17f4c721 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7f9e288190af5f2b2aa6ff63b3 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.