Triple
T16744357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megamind |
E406910
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Denise Nolan Cascino |
E406910
|
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: Denise Nolan Cascino | Statement: [Megamind, producer, Denise Nolan Cascino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denise Nolan Cascino Context triple: [Megamind, producer, Denise Nolan Cascino]
-
A.
Denise Nolan Cascino
chosen
Denise Nolan Cascino is a film producer best known for her work on the animated feature "Megamind."
-
B.
Denise Lombardo
Denise Lombardo is an American woman best known as the first wife of former stockbroker and convicted fraudster Jordan Belfort, whose life inspired the film "The Wolf of Wall Street."
-
C.
Denise Nolan
Denise Nolan is an English singer best known as a member of the family pop group The Nolans, who rose to fame in the late 1970s and 1980s.
-
D.
Elaine Nardo
Elaine Nardo is a central character on the classic American sitcom "Taxi," portrayed as a single mother working as a part-time cab driver while pursuing a better life.
-
E.
Maria Colacurcio
Maria Colacurcio is an American technology executive and entrepreneur best known as a co-founder of Smartsheet and for her leadership roles in data-driven workplace equity and HR tech companies.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa210ef88190be74bd60d7144953 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aaf3c6088190a8301a9613d74474 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:21 a.m.