Triple
T14958525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinton Harper |
E372997
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Vinton |
E148964
|
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: Vinton | Statement: [Vinton Harper, givenName, Vinton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinton Context triple: [Vinton Harper, givenName, Vinton]
-
A.
Vinton
chosen
Vinton is the given name of Vinton Cerf, an American computer scientist widely recognized as one of the "fathers of the Internet."
-
B.
Vinton
Vinton is a small village in western Texas, located near the city of El Paso and the U.S.–Mexico border.
-
C.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
D.
Pupin
Pupin is a Serbian surname most famously associated with physicist and inventor Mihajlo Idvorski Pupin.
-
E.
Puttnam
Puttnam is a surname most notably associated with British film producer and politician David Puttnam.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cd85bc81909040b7ff78f62554 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9e74fc8190bdd10a25c39829f3 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:40 a.m.