Triple
T2921370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvin Memorial (Concord, Massachusetts) |
E78731
|
entity |
| Predicate | commemorates |
P501
|
FINISHED |
| Object |
Samuel Melvin
Samuel Melvin was a young American soldier from Concord, Massachusetts, whose death in the Civil War is honored by the Melvin Memorial.
|
E313967
|
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: Samuel Melvin | Statement: [Melvin Memorial (Concord, Massachusetts), commemorates, Samuel Melvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Melvin Context triple: [Melvin Memorial (Concord, Massachusetts), commemorates, Samuel Melvin]
-
A.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
-
B.
Samuel Baum
Samuel Baum is a television writer and producer best known for creating the crime drama series "Lie to Me."
-
C.
Charles Stillman
Charles Stillman was an American labor leader and educator best known for helping to establish the American Federation of Teachers as a national teachers’ union.
-
D.
Samuel Ellis
Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
-
E.
Henry Samson
Henry Samson was a young passenger on the Mayflower who later became a settler in Plymouth Colony in early 17th-century New England.
- 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: Samuel Melvin Triple: [Melvin Memorial (Concord, Massachusetts), commemorates, Samuel Melvin]
Generated description
Samuel Melvin was a young American soldier from Concord, Massachusetts, whose death in the Civil War is honored by the Melvin Memorial.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samuel Melvin Target entity description: Samuel Melvin was a young American soldier from Concord, Massachusetts, whose death in the Civil War is honored by the Melvin Memorial.
-
A.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
-
B.
Samuel Baum
Samuel Baum is a television writer and producer best known for creating the crime drama series "Lie to Me."
-
C.
Charles Stillman
Charles Stillman was an American labor leader and educator best known for helping to establish the American Federation of Teachers as a national teachers’ union.
-
D.
Samuel Ellis
Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
-
E.
Henry Samson
Henry Samson was a young passenger on the Mayflower who later became a settler in Plymouth Colony in early 17th-century New England.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97bbcc7081908a79053be35ca02e |
completed | March 8, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc632afc819098021312c748346b |
completed | March 11, 2026, 5:23 a.m. |
| NEDg | Description generation | batch_69b0ff5f80848190a11bcd38d13a30c5 |
completed | March 11, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0ffb0379c819094d13dd284f6cdfe |
completed | March 11, 2026, 5:37 a.m. |
Created at: March 8, 2026, 2:54 p.m.