Triple
T19382054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Costner |
E484835
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Dr. Danny Cox |
—
|
NE NERFINISHED |
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: Dr. Danny Cox | Statement: [Annie Costner, spouse, Dr. Danny Cox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Danny Cox Context triple: [Annie Costner, spouse, Dr. Danny Cox]
-
A.
Dr. Danny Cox
chosen
Dr. Danny Cox is known as the husband of filmmaker and actress Annie Costner.
-
B.
Dr. Ben Keeton
Dr. Ben Keeton is a central character on the medical drama series "Off the Map," portrayed as a gifted but troubled doctor leading a remote jungle clinic.
-
C.
Dr. Tim Mason
Dr. Tim Mason is a fictional scientist character from the 1942 horror film "Night Monster."
-
D.
Dr. Trevor Grant
Dr. Trevor Grant is a fictional scientist character portrayed by actor James Callis, known for his involvement in complex, high-stakes scientific scenarios.
-
E.
Dr. Andy Campbell
Dr. Andy Campbell is a central fictional physician character in the medical drama "Strong Medicine," known for navigating complex ethical and personal challenges in a high-pressure healthcare setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a6075a88190aed7afa3b8fd3021 |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.