Triple
T11070275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Swamp Massacre |
E261725
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object |
Samuel Appleton
Samuel Appleton was a 17th-century Massachusetts military officer and colonial leader known for his role in King Philip’s War.
|
E903256
|
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 Appleton | Statement: [Great Swamp Massacre, commander, Samuel Appleton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Appleton Context triple: [Great Swamp Massacre, commander, Samuel Appleton]
-
A.
Nathan Appleton
Nathan Appleton was a prominent 19th-century American merchant, industrialist, and politician who played a key role in the early textile industry in New England.
-
B.
Samuel Dracott
Samuel Dracott is an individual whose name appears in records with the variant spelling "Samuel Dracutt."
-
C.
Samuel Mayes
Samuel Mayes was an American cellist renowned for his orchestral and chamber music performances in the mid-20th century.
-
D.
Martin Holbrook
Martin Holbrook is a person notable enough to be recognized as a bearer of the surname Holbrook.
-
E.
George Winslow
George Winslow was an American child actor of the 1950s, best remembered for his deadpan delivery and distinctive raspy voice in several popular Hollywood comedies.
- 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 Appleton Triple: [Great Swamp Massacre, commander, Samuel Appleton]
Generated description
Samuel Appleton was a 17th-century Massachusetts military officer and colonial leader known for his role in King Philip’s War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samuel Appleton Target entity description: Samuel Appleton was a 17th-century Massachusetts military officer and colonial leader known for his role in King Philip’s War.
-
A.
Nathan Appleton
Nathan Appleton was a prominent 19th-century American merchant, industrialist, and politician who played a key role in the early textile industry in New England.
-
B.
Samuel Dracott
Samuel Dracott is an individual whose name appears in records with the variant spelling "Samuel Dracutt."
-
C.
Samuel Mayes
Samuel Mayes was an American cellist renowned for his orchestral and chamber music performances in the mid-20th century.
-
D.
Martin Holbrook
Martin Holbrook is a person notable enough to be recognized as a bearer of the surname Holbrook.
-
E.
George Winslow
George Winslow was an American child actor of the 1950s, best remembered for his deadpan delivery and distinctive raspy voice in several popular Hollywood comedies.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79922e48c81909adb161e66f47474 |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8b2d6e881909eeddf1e6427ad5c |
completed | April 18, 2026, 6:08 p.m. |
| NEDg | Description generation | batch_69e3cae07b648190b4c0d2514712d6bd |
completed | April 18, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3cf1f508c81909b4ca8131b7fc9ee |
completed | April 18, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:26 p.m.