Triple
T20665502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincent Piazza |
E507873
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rocket Science |
—
|
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: Rocket Science | Statement: [Vincent Piazza, notableWork, Rocket Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocket Science Context triple: [Vincent Piazza, notableWork, Rocket Science]
-
A.
Rocket Science
chosen
Rocket Science is a 2007 coming-of-age comedy-drama film about a stuttering teenager who joins his high school debate team, featuring an early breakout performance by Anna Kendrick.
-
B.
Rocket
Rocket is the young, aspiring photographer who narrates and anchors the story of life in the Rio de Janeiro favela in the film "City of God."
-
C.
Rocket
Rocket is a brand name used by Oldsmobile for its line of high-performance V8 automobile engines, especially popular in the mid-20th century.
-
D.
Rocket
Rocket is a genetically modified, cybernetically enhanced raccoon and expert pilot and tactician from Marvel’s Guardians of the Galaxy.
-
E.
Rocket
"Rocket" is a sultry, slow-burning R&B song by Beyoncé from her self-titled visual album, noted for its sensual lyrics and intimate, minimalist production.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c2c6d48190bbfe505cf7d973f9 |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.