Triple
T19697695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vince Lombardi Jr. |
E473003
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Vince |
—
|
NE NERFINISHED |
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: Vince | Statement: [Vince Lombardi Jr., givenName, Vince]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vince Context triple: [Vince Lombardi Jr., givenName, Vince]
-
A.
Vince
chosen
Vince is a given name commonly used as a short form of Vincent.
-
B.
Vinnie
Vinnie is a given name, often a diminutive of Vincent, used for both real people and fictional characters.
-
C.
Vince Alexander
Vince Alexander is a character in the 1949 film noir "The Crooked Way," involved in its dark, crime-driven narrative.
-
D.
Vic
Vic is a common shortened form of the given name Victoria, often used as a casual or familiar nickname.
-
E.
Vic
Vic is a historic city in central Catalonia, Spain, known for its medieval old town, Romanesque and Gothic architecture, and vibrant cultural traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b2baec81909ee2cd6ead632836 |
completed | April 20, 2026, 3:13 p.m. |
Created at: April 10, 2026, 1:46 p.m.