Triple
T9740979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Butterfly Effect |
E236183
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | A.J. Dix |
E241139
|
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: A.J. Dix | Statement: [The Butterfly Effect, producer, A.J. Dix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A.J. Dix Context triple: [The Butterfly Effect, producer, A.J. Dix]
-
A.
A. J. Dix
chosen
A. J. Dix is a film producer known for her work on the action thriller "Atomic Blonde."
-
B.
Ken Dixon
Ken Dixon is a Canadian entrepreneur and film industry professional best known as the husband of actress Jennifer Beals.
-
C.
Ron Dixon
Ron Dixon is a former NFL wide receiver and kick returner best known for his explosive return touchdowns for the New York Giants during their run to Super Bowl XXXV.
-
D.
George Stillman
George Stillman was a notable individual significant enough to have the Stillman Trail named in his honor, likely for his contributions to the local area or to outdoor recreation.
-
E.
Ward McAllister
Ward McAllister was a prominent 19th-century New York social arbiter best known for codifying the rules of high society and helping define the elite circle known as "The Four Hundred."
- 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.