Triple
T9740978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Butterfly Effect |
E236183
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Chris Bender |
E257852
|
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: Chris Bender | Statement: [The Butterfly Effect, producer, Chris Bender]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Bender Context triple: [The Butterfly Effect, producer, Chris Bender]
-
A.
Chris Bender
chosen
Chris Bender is a film producer known for his work on major Hollywood movies, including the thriller "Red Eye."
-
B.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
C.
Chris Bennett
Chris Bennett is a central character in Tyler Perry's drama film "The Family That Preys," involved in the story's intertwined family and moral conflicts.
-
D.
Chandler Belfort
Chandler Belfort is the daughter of former stockbroker and author Jordan Belfort, who is widely known as the "Wolf of Wall Street."
-
E.
Chris Makepeace
Chris Makepeace is a Canadian actor best known for his breakout role in the 1979 comedy film "Meatballs" and subsequent performances in several 1980s movies.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2af3e48190b83a442cd0e84062 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afe974608190874e2aba2189de80 |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:23 p.m.