Triple
T14015279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Eustis |
E337187
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Eustis |
E613378
|
NE FINISHED |
How this triple was built (2 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: [William Eustis, familyName, Eustis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eustis Context triple: [William Eustis, familyName, Eustis]
-
A.
Eustis
chosen
Eustis is a surname of English origin borne by various notable individuals, including military figures and public officials in American history.
-
B.
Eustis, Florida
Eustis, Florida is a small central Florida city known for its historic downtown, access to nearby lakes, and role as part of the Orlando–Kissimmee–Sanford metropolitan area.
-
C.
Ocala
Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
-
D.
Springfield, Florida
Springfield, Florida is a small city in Bay County near Panama City, known as a residential community in Florida’s Panhandle.
-
E.
Hernando
Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.