Triple
T16130489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Vaught |
E391382
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Lawson Vaught |
E391382
|
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: Robert Lawson Vaught | Statement: [Robert Vaught, name, Robert Lawson Vaught]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Lawson Vaught Context triple: [Robert Vaught, name, Robert Lawson Vaught]
-
A.
Robert Vaught
chosen
Robert Vaught was an American logician and mathematician known for his influential work in model theory and mathematical logic.
-
B.
Carl Hodges
Carl Hodges is an environmental scientist and innovator known for pioneering large-scale desert greening and seawater agriculture projects.
-
C.
Earle Larrimore
Earle Larrimore was an American stage and film actor active in the early 20th century, known for his Broadway performances and work in Hollywood.
-
D.
Del Moore
Del Moore was an American character actor and comedian best known for his supporting roles in mid-20th-century film and television comedies.
-
E.
Bob Vance
Bob Vance is a fictional character from the U.S. television series "The Office," known as the owner of Vance Refrigeration and the husband of Phyllis Vance.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020829e88190b51ab32d22cf0259 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2aff07c8190bf693f652e2a2808 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.