Triple
T16766174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carey Lowell |
E407467
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Big Apple |
E1197043
|
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: Big Apple | Statement: [Carey Lowell, appearedIn, Big Apple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Apple Context triple: [Carey Lowell, appearedIn, Big Apple]
-
A.
Big Apple
chosen
Big Apple is a short-lived 2001 American crime drama television series created by David Milch that follows New York City detectives working with the FBI to take down organized crime.
-
B.
Jones New York
Jones New York is an American women’s apparel brand known for its classic, career-focused and ready-to-wear clothing.
-
C.
NYC
NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
-
D.
Brew City
Brew City is a popular nickname for Milwaukee, Wisconsin, reflecting its historic and influential beer-brewing industry.
-
E.
Manhattan
Manhattan is a village in Will County, Illinois, known as a growing suburban community southwest of Chicago.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0330d6081908ce99f14c70b90f2 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a531ea7c81908630f16f6c685d49 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.