Triple
T5150188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strong Vincent |
E116173
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Strong Vincent |
E116173
|
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: Strong Vincent | Statement: [Strong Vincent, fullName, Strong Vincent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strong Vincent Context triple: [Strong Vincent, fullName, Strong Vincent]
-
A.
Strong Vincent
chosen
Strong Vincent was a Union Army colonel in the American Civil War best known for his decisive leadership in defending Little Round Top during the Battle of Gettysburg.
-
B.
Vinces
Vinces is a small town and canton seat in Ecuador’s Los Ríos Province, known for its agricultural surroundings and riverside setting.
-
C.
Vince
Vince is a given name commonly used as a short form of Vincent.
-
D.
Vic
Vic is a common diminutive form of the given name Vicente.
-
E.
Vinnie
Vinnie is a given name, often a diminutive of Vincent, used for both real people and fictional characters.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee07016e4819094aacafec653e700 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:43 p.m.