Triple
T2576446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Pacino |
E57786
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Scarface |
E249787
|
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: Scarface | Statement: [Al Pacino, notableWork, Scarface]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scarface Context triple: [Al Pacino, notableWork, Scarface]
-
A.
Scarface
Scarface is the notorious nickname of American gangster Al Capone, one of the most infamous crime bosses of the Prohibition era.
-
B.
Scarface
chosen
Scarface is a 1983 crime drama film chronicling the violent rise and fall of Cuban immigrant drug lord Tony Montana in Miami’s cocaine underworld.
-
C.
Carlito's Way
Carlito's Way is a 1993 crime drama film directed by Brian De Palma, starring Al Pacino as a reformed Puerto Rican gangster trying to escape his violent past in New York City.
-
D.
New Jack City
New Jack City is a 1991 American crime thriller film about a ruthless drug lord’s rise and fall amid the crack epidemic in New York City.
-
E.
Masta Killa
Masta Killa is an American rapper best known as a member of the influential hip hop group Wu-Tang Clan.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a606e481909bcea46de468bb99 |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657413908190a03b9dd8dc40b2e4 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.