Triple
T18823942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conviction |
E460334
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Manny Montana |
—
|
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: Manny Montana | Statement: [Conviction, castMember, Manny Montana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manny Montana Context triple: [Conviction, castMember, Manny Montana]
-
A.
Manny Montana
chosen
Manny Montana is an American actor best known for his role as Rio in the television crime comedy-drama series "Good Girls."
-
B.
Manny Miles
Manny Miles is an American football quarterback known for playing college football at North Carolina and Kansas and for being the son of longtime college coach Les Miles.
-
C.
Manny Santos
Manny Santos is a central teen character in the Canadian television series "Degrassi: The Next Generation," known for her dramatic personal growth, complex relationships, and controversial storylines.
-
D.
Manny
Manny is a fictional character from the television series "Modern Family," known for his mature, romantic, and sensitive personality.
-
E.
Manny
Manny is a stoic praying mantis and part of the circus bug troupe in Pixar's animated film "A Bug's Life."
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bce5588190bd0aefcd0c51edad |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:56 a.m.