Triple
T19905798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnburners |
E478410
|
entity |
| Predicate | hasRival |
P1375
|
FINISHED |
| Object |
Hunkers
Hunkers were a conservative faction of the New York Democratic Party in the mid-19th century, opposed to the more progressive Barnburner wing.
|
E1400806
|
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: Hunkers | Statement: [Barnburners, hasRival, Hunkers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunkers Context triple: [Barnburners, hasRival, Hunkers]
-
A.
The Dug-Out
"The Dug-Out" is a World War I poem by Siegfried Sassoon that poignantly reflects the emotional and psychological toll of trench warfare.
-
B.
Hungry Hill
Hungry Hill is a prominent mountain on Ireland’s Beara Peninsula, known for its rugged terrain, scenic views, and popular hiking routes.
-
C.
Red Mill
Red Mill is the English name for the famous Parisian cabaret "Moulin Rouge," renowned for its iconic red windmill and can-can performances.
-
D.
Blockhouse
Blockhouse is a small rural community in Lunenburg County, Nova Scotia, known as a local service and crossroads area near the town of Mahone Bay.
-
E.
Sykehouse
Sykehouse is a rural village and civil parish in South Yorkshire, England, known for its agricultural landscape and traditional English countryside character.
- 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: Hunkers Triple: [Barnburners, hasRival, Hunkers]
Generated description
Hunkers were a conservative faction of the New York Democratic Party in the mid-19th century, opposed to the more progressive Barnburner wing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hunkers Target entity description: Hunkers were a conservative faction of the New York Democratic Party in the mid-19th century, opposed to the more progressive Barnburner wing.
-
A.
The Dug-Out
"The Dug-Out" is a World War I poem by Siegfried Sassoon that poignantly reflects the emotional and psychological toll of trench warfare.
-
B.
Hungry Hill
Hungry Hill is a prominent mountain on Ireland’s Beara Peninsula, known for its rugged terrain, scenic views, and popular hiking routes.
-
C.
Red Mill
Red Mill is the English name for the famous Parisian cabaret "Moulin Rouge," renowned for its iconic red windmill and can-can performances.
-
D.
Blockhouse
Blockhouse is a small rural community in Lunenburg County, Nova Scotia, known as a local service and crossroads area near the town of Mahone Bay.
-
E.
Sykehouse
Sykehouse is a rural village and civil parish in South Yorkshire, England, known for its agricultural landscape and traditional English countryside character.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65946916881909c3f52208c07aa64 |
completed | April 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea494af08190ac8c43797bff5012 |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07ee6d8ef481908987eef826425806 |
completed | May 16, 2026, 4:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07eec5b4788190b697a0b7382b5c2b |
completed | May 16, 2026, 4:12 a.m. |
Created at: April 10, 2026, 1:52 p.m.