Triple
T6715740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Eustis |
E153262
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Eustis
Eustis is a surname of English origin borne by various notable individuals, including military figures and public officials in American history.
|
E613378
|
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: Eustis | Statement: [Abraham Eustis, familyName, Eustis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eustis Context triple: [Abraham Eustis, familyName, Eustis]
-
A.
Ocala
Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
-
B.
Springfield, Florida
Springfield, Florida is a small city in Bay County near Panama City, known as a residential community in Florida’s Panhandle.
-
C.
Hernando
Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
-
D.
Trenton, Florida
Trenton, Florida is a small city in north-central Florida known as the primary community and administrative center of Gilchrist County.
-
E.
Altamonte Springs
Altamonte Springs is a suburban city in the Orlando metropolitan area of Central Florida, known for its residential communities, shopping centers, and recreational amenities.
- 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: Eustis Triple: [Abraham Eustis, familyName, Eustis]
Generated description
Eustis is a surname of English origin borne by various notable individuals, including military figures and public officials in American history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eustis Target entity description: Eustis is a surname of English origin borne by various notable individuals, including military figures and public officials in American history.
-
A.
Ocala
Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
-
B.
Springfield, Florida
Springfield, Florida is a small city in Bay County near Panama City, known as a residential community in Florida’s Panhandle.
-
C.
Hernando
Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
-
D.
Trenton, Florida
Trenton, Florida is a small city in north-central Florida known as the primary community and administrative center of Gilchrist County.
-
E.
Altamonte Springs
Altamonte Springs is a suburban city in the Orlando metropolitan area of Central Florida, known for its residential communities, shopping centers, and recreational amenities.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1246b748190aed94e8ab8625f7e |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700993128819081614ccfa68d7320 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c70262f3e48190b544be536ee0b674 |
completed | March 27, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70311418c8190a902cf21187fdc51 |
completed | March 27, 2026, 10:22 p.m. |
Created at: March 27, 2026, 2:07 p.m.