Triple
T6034974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Maggioncalda |
E134394
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeff Maggioncalda |
E134394
|
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: Jeff Maggioncalda | Statement: [Jeff Maggioncalda, name, Jeff Maggioncalda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Maggioncalda Context triple: [Jeff Maggioncalda, name, Jeff Maggioncalda]
-
A.
Jeff Maggioncalda
chosen
Jeff Maggioncalda is a business executive best known for leading the online learning platform Coursera as its chief executive officer.
-
B.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
C.
Mike Tuccillo
Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
-
D.
Joe Rinaldi
Joe Rinaldi was an American screenwriter and story artist best known for his work on classic Walt Disney animated films in the mid-20th century.
-
E.
Mike Larocca
Mike Larocca is a film producer known for his work on acclaimed projects including the multiverse-themed movie "Everything Everywhere All at Once."
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056b33a7c8190ad6282286199b192 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11388aec881908408d5844c96ea2d |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:08 p.m.