Triple
T12685953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Sloane |
E303065
|
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: [Miss Sloane, producer, A.J. Dix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A.J. Dix Context triple: [Miss Sloane, 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.
A. J. Duhe
A. J. Duhe is a former American football linebacker and defensive end best known for his standout career with the Miami Dolphins in the late 1970s and early 1980s.
-
C.
A. J. Donnell
A. J. Donnell was an illustrator known for creating the original cover art for early science fiction works, including the first book edition of "The Skylark of Space."
-
D.
Ken Dixon
Ken Dixon is a Canadian entrepreneur and film industry professional best known as the husband of actress Jennifer Beals.
-
E.
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.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a8f068819086e2191439607f76 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.