Triple
T13623759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Isaac |
E325524
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jonathan Isaac |
E325524
|
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: Jonathan Isaac | Statement: [Jonathan Isaac, name, Jonathan Isaac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Isaac Context triple: [Jonathan Isaac, name, Jonathan Isaac]
-
A.
Jonathan Isaac
chosen
Jonathan Isaac is an American professional basketball player known for his defensive versatility and shot-blocking ability in the NBA.
-
B.
Shaquem Griffin
Shaquem Griffin is an American football linebacker, born with one hand, who became a symbol of perseverance by reaching the NFL and inspiring millions through his athletic achievements and advocacy.
-
C.
Jonquel Jones
Jonquel Jones is a Bahamian-Bosnian professional basketball player and former WNBA MVP known as one of the league’s most dominant and versatile frontcourt talents.
-
D.
Jerahmy Grant
Jerahmy Grant is a member of the Grant family of American basketball players, related to NBA guard Jerian Grant.
-
E.
Jamir Jones
Jamir Jones is an American football linebacker who has played in the NFL, including for the Pittsburgh Steelers.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9b0b648190afee93121483f45f |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa4c5fc8190bd791f181fce2aa1 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.