Triple
T18537388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connie Murphy |
E452999
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Connie Murphy (character in Narcos) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Connie Murphy (character in Narcos) | Statement: [Connie Murphy, basedOn, Connie Murphy (character in Narcos)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connie Murphy (character in Narcos) Context triple: [Connie Murphy, basedOn, Connie Murphy (character in Narcos)]
-
A.
Rachel Juarez
Rachel Juarez is a television court show judge best known for serving on the panel of the syndicated legal series "Hot Bench."
-
B.
Rosa Diaz
Rosa Diaz is a tough, enigmatic, and fiercely loyal NYPD detective known for her deadpan humor and intimidating presence on the sitcom "Brooklyn Nine-Nine."
-
C.
Connie
Connie is the nickname of Connie Hawkins, a legendary American basketball player known for his high-flying, acrobatic style and Hall of Fame career.
-
D.
Connie
Connie is a character associated with Silky the Fairy, likely appearing in the same children’s fantasy setting as her friend.
-
E.
Connie
Connie is a central character in the romantic drama film "Jack Goes Boating," serving as the shy, soft-spoken love interest whose relationship with Jack drives much of the story’s emotional development.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Connie Murphy (character in Narcos) Target entity description: Connie Murphy is a fictional character in the television series "Narcos," depicted as the compassionate and morally grounded wife of DEA agent Steve Murphy, whose experiences highlight the personal costs of the drug war.
-
A.
Rachel Juarez
Rachel Juarez is a television court show judge best known for serving on the panel of the syndicated legal series "Hot Bench."
-
B.
Rosa Diaz
Rosa Diaz is a tough, enigmatic, and fiercely loyal NYPD detective known for her deadpan humor and intimidating presence on the sitcom "Brooklyn Nine-Nine."
-
C.
Connie
Connie is the nickname of Connie Hawkins, a legendary American basketball player known for his high-flying, acrobatic style and Hall of Fame career.
-
D.
Connie
Connie is a character associated with Silky the Fairy, likely appearing in the same children’s fantasy setting as her friend.
-
E.
Connie
Connie is a central character in the romantic drama film "Jack Goes Boating," serving as the shy, soft-spoken love interest whose relationship with Jack drives much of the story’s emotional development.
- F. None of above. chosen
Provenance (2 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534030bd88190b25b95305a12a0c1 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.