Triple
T13309554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Lenox Remond |
E317024
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Lenox
Lenox is a given name historically used as a middle name, notably borne by 19th-century African American abolitionist and orator Charles Lenox Remond.
|
E116240
|
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: Lenox | Statement: [Charles Lenox Remond, middleName, Lenox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenox Context triple: [Charles Lenox Remond, middleName, Lenox]
-
A.
Lenox
Lenox is a small town located in Madison County in the state of New York, United States.
-
B.
Lenox
Lenox is a small, historic town in western Massachusetts known for its cultural attractions, including Tanglewood, the summer home of the Boston Symphony Orchestra.
-
C.
Concord
Concord is a historic New England town in eastern Massachusetts known for its pivotal role in the American Revolutionary War and its association with prominent 19th-century literary figures.
-
D.
Concord
Concord is a suburban neighbourhood within the city of Vaughan in Ontario, Canada, known for its mix of industrial, commercial, and residential areas.
-
E.
Concord
Concord is a suburb in Sydney, Australia, known for its residential character, parks, and proximity to the Parramatta River.
- 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: Lenox Triple: [Charles Lenox Remond, middleName, Lenox]
Generated description
Lenox is a given name historically used as a middle name, notably borne by 19th-century African American abolitionist and orator Charles Lenox Remond.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lenox Target entity description: Lenox is a given name historically used as a middle name, notably borne by 19th-century African American abolitionist and orator Charles Lenox Remond.
-
A.
Lenox
chosen
Lenox is a small, historic town in western Massachusetts known for its cultural attractions, including Tanglewood, the summer home of the Boston Symphony Orchestra.
-
B.
Lenox
Lenox is a small town located in Madison County in the state of New York, United States.
-
C.
Concord
Concord is a historic New England town in eastern Massachusetts known for its pivotal role in the American Revolutionary War and its association with prominent 19th-century literary figures.
-
D.
Concord
Concord is a suburban city in California’s East Bay region known as a residential and commercial hub within the greater San Francisco Bay Area.
-
E.
Concord
Concord is a suburb in Sydney, Australia, known for its residential character, parks, and proximity to the Parramatta River.
- F. None of above.
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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f56abc8190951774a999e2ce11 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e58cc48190afb46e8394227ab5 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7179da5488190a10acadbf60ea470 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 9, 2026, 9:29 p.m.