Triple
T16170767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Milch |
E392427
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Big Apple
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.
|
E1197043
|
NE FINISHED |
How this triple was built (4 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: [David Milch, notableWork, Big Apple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Apple Context triple: [David Milch, notableWork, Big Apple]
-
A.
Jones New York
Jones New York is an American women’s apparel brand known for its classic, career-focused and ready-to-wear clothing.
-
B.
NYC
NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
-
C.
Brew City
Brew City is a popular nickname for Milwaukee, Wisconsin, reflecting its historic and influential beer-brewing industry.
-
D.
Manhattan
Manhattan is a village in Will County, Illinois, known as a growing suburban community southwest of Chicago.
-
E.
Manhattan
The Manhattan is a classic whiskey-based cocktail, traditionally made with rye or bourbon, sweet vermouth, and bitters, and typically served stirred and garnished with a cherry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Big Apple Triple: [David Milch, notableWork, Big Apple]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Big Apple Target entity description: 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.
-
A.
Jones New York
Jones New York is an American women’s apparel brand known for its classic, career-focused and ready-to-wear clothing.
-
B.
NYC
NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
-
C.
Brew City
Brew City is a popular nickname for Milwaukee, Wisconsin, reflecting its historic and influential beer-brewing industry.
-
D.
Manhattan
Manhattan is the densely populated, iconic core borough of New York City, known for its skyscrapers, cultural institutions, and role as a global financial and media center.
-
E.
Manhattan
Manhattan is a village in Will County, Illinois, known as a growing suburban community southwest of Chicago.
- F. None of above. chosen
Provenance (5 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb6de30819083af54b50ae5ae51 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7bd87f08190a9f2a1524e5db2ba |
completed | May 10, 2026, 3:13 a.m. |
| NEDg | Description generation | batch_69fff82b34408190ac40018f940ae370 |
completed | May 10, 2026, 3:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff8905ce48190b99f8cc3504efba2 |
completed | May 10, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:02 a.m.