Triple
T20006784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electric Dreams |
E494479
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Mel Rodriguez |
—
|
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: Mel Rodriguez | Statement: [Electric Dreams, hasCastMember, Mel Rodriguez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mel Rodriguez Context triple: [Electric Dreams, hasCastMember, Mel Rodriguez]
-
A.
Mel Rodriguez
chosen
Mel Rodriguez is an American actor known for his character roles in film and television, including voice work in animated features.
-
B.
Dave Aranda
Dave Aranda is an American college football coach best known for leading the Baylor Bears and previously serving as a highly regarded defensive coordinator at programs like LSU and Wisconsin.
-
C.
Rico Rodriguez
Rico Rodriguez is an American actor best known for his role as Manny Delgado on the television sitcom "Modern Family."
-
D.
Vivian Rhule
Vivian Rhule is one of the children of American football coach Matt Rhule.
-
E.
Rich Rodriguez
Rich Rodriguez is an American college football coach best known for his innovative spread-option offense and head coaching stints at West Virginia, Michigan, and Arizona.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.