Triple
T4121648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Cera |
E92625
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Evan in Superbad |
E126478
|
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: Evan in Superbad | Statement: [Michael Cera, portrayed, Evan in Superbad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan in Superbad Context triple: [Michael Cera, portrayed, Evan in Superbad]
-
A.
Evan
chosen
Evan is a masculine given name of Welsh origin meaning "the Lord is gracious," commonly used in English-speaking countries.
-
B.
Logan Green
Logan Green is an American entrepreneur best known as the co-founder and former CEO of the ride-sharing company Lyft.
-
C.
Evan Richards
Evan Richards is an American actor best known for his role in the film "Down and Out in Beverly Hills" and various television appearances in the 1980s and 1990s.
-
D.
Steve Oedekerk
Steve Oedekerk is an American comedian, writer, director, and producer known for his work on films like "Ace Ventura: When Nature Calls," "Kung Pow! Enter the Fist," and the "Thumbs!" parody series.
-
E.
Steve Harrington
Steve Harrington is a popular character from the Netflix series "Stranger Things," known for his evolution from a self-absorbed high school student to a brave, caring protector of the younger kids.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af020549dc8190a81a5dbbf70288c7 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576b13cc881908fea25c686141546 |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:41 p.m.