Triple
T19505457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project Power |
E488008
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Allen Maldonado |
—
|
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: Allen Maldonado | Statement: [Project Power, castMember, Allen Maldonado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allen Maldonado Context triple: [Project Power, castMember, Allen Maldonado]
-
A.
Allen Maldonado
chosen
Allen Maldonado is an American actor and comedian known for his roles in television series such as "Black-ish," "The Last O.G.," and the film "Straight Outta Compton."
-
B.
Angel Moldonado
Angel Moldonado is a ruthless drug kingpin and primary antagonist in the crime thriller film "8 Million Ways to Die."
-
C.
Frank Dominguez
Frank Dominguez is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
-
D.
Frank Dominguez
Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
-
E.
Paul Buentello
Paul Buentello is an American mixed martial artist and former UFC heavyweight contender known for his striking-focused fighting style.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635113fdc819098ea0f738d01925c |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.