Triple
T13933551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traffik |
E335050
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Missi Pyle |
E293062
|
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: Missi Pyle | Statement: [Traffik, starring, Missi Pyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Missi Pyle Context triple: [Traffik, starring, Missi Pyle]
-
A.
Missi Pyle
chosen
Missi Pyle is an American actress and singer known for her comedic and character roles in films such as "Galaxy Quest," "Dodgeball," and "Charlie and the Chocolate Factory."
-
B.
Audrina Patridge
Audrina Patridge is an American television personality and actress best known for starring on the MTV reality series "The Hills."
-
C.
Torri Higginson
Torri Higginson is a Canadian actress best known for her role as Dr. Elizabeth Weir on the science fiction television series Stargate Atlantis.
-
D.
Piper Perabo
Piper Perabo is an American actress known for her roles in films like "Coyote Ugly" and the TV series "Covert Affairs."
-
E.
Taryn Van Dyke
Taryn Van Dyke is a member of the Van Dyke family, known for its multi-generational involvement in American film and television.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb64c5644819086e1bdbb5132779d |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:17 p.m.