Triple
T5150190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strong Vincent |
E116173
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vincent |
E18457
|
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: Vincent | Statement: [Strong Vincent, familyName, Vincent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent Context triple: [Strong Vincent, familyName, Vincent]
-
A.
Vincent
chosen
Vincent is a masculine given name of Latin origin, derived from "Vincentius," meaning "conquering" or "to conquer."
-
B.
Vincent Benedict
Vincent Benedict is one of the mismatched twin brothers in the 1988 comedy film "Twins," portrayed as the street-smart, scheming counterpart to Arnold Schwarzenegger’s character.
-
C.
Vince
Vince is a given name commonly used as a short form of Vincent.
-
D.
Vincenzo
Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
-
E.
Vincent Franklin
Vincent Franklin is a British character actor known for his work in television comedies and dramas such as "The Thick of It," "Cucumber," and "Bodyguard."
- 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_69bef7f117ac8190a03379437484627b |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:43 p.m.