Triple
T2843540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Jones |
E62527
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Samuel Jones |
E62527
|
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: Samuel Jones | Statement: [Samuel Jones, name, Samuel Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Jones Context triple: [Samuel Jones, name, Samuel Jones]
-
A.
Samuel Jones
chosen
Samuel Jones is an individual whose full given name is Samuel but is commonly referred to as Sam Jones.
-
B.
Joseph Ashburn
Joseph Ashburn was the second husband of American upholsterer Betsy Ross, who is widely associated with sewing the first United States flag.
-
C.
Ezekiel Jones
Ezekiel Jones is a charming, tech-savvy master thief and one of the main Librarians in the fantasy adventure TV series "The Librarians."
-
D.
Caldwell Jones
Caldwell Jones was an American professional basketball center known for his defensive prowess and rebounding during a long ABA and NBA career in the 1970s and 1980s.
-
E.
Sam J. Jones
Sam J. Jones is an American actor best known for starring as the title character in the 1980 science fiction film "Flash Gordon."
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1a07508190be35fe85733ddeed |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d570388190b4ed81ace605c6c3 |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:02 p.m.