Triple
T295482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A History of New York |
E6083
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Inskeep & Bradford
Inskeep & Bradford was an early 19th-century American publishing firm known for issuing notable works of literature and history.
|
E37986
|
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: Inskeep & Bradford | Statement: [A History of New York, publisher, Inskeep & Bradford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inskeep & Bradford Context triple: [A History of New York, publisher, Inskeep & Bradford]
-
A.
Holabird & Roche
Holabird & Roche was a prominent Chicago-based architectural firm known for its influential early skyscraper designs and major civic projects in the late 19th and early 20th centuries.
-
B.
Shawmut
Shawmut is a neighborhood rapid transit station on Boston's MBTA Red Line, located in the Dorchester area.
-
C.
Howe
Howe is an English-language surname of Anglo-Norman and Old English origin, borne by numerous notable figures across politics, the military, the arts, and sports.
-
D.
Weston
Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- 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: Inskeep & Bradford Triple: [A History of New York, publisher, Inskeep & Bradford]
Generated description
Inskeep & Bradford was an early 19th-century American publishing firm known for issuing notable works of literature and history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inskeep & Bradford Target entity description: Inskeep & Bradford was an early 19th-century American publishing firm known for issuing notable works of literature and history.
-
A.
Holabird & Roche
Holabird & Roche was a prominent Chicago-based architectural firm known for its influential early skyscraper designs and major civic projects in the late 19th and early 20th centuries.
-
B.
Shawmut
Shawmut is a neighborhood rapid transit station on Boston's MBTA Red Line, located in the Dorchester area.
-
C.
Howe
Howe is an English-language surname of Anglo-Norman and Old English origin, borne by numerous notable figures across politics, the military, the arts, and sports.
-
D.
Weston
Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e979663481908cf9622e59fed041 |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a5d664c08190b7252fd631ff50d7 |
completed | March 1, 2026, 2:35 a.m. |
| NEDg | Description generation | batch_69a3a5fd7ad48190b3efcb21198bdda0 |
completed | March 1, 2026, 2:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3a649124481909c66068b97de429a |
completed | March 1, 2026, 2:36 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.