Triple
T11464469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worcester Academy |
E271744
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object | Jarrett Jack |
E731256
|
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: Jarrett Jack | Statement: [Worcester Academy, hasAlumni, Jarrett Jack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jarrett Jack Context triple: [Worcester Academy, hasAlumni, Jarrett Jack]
-
A.
Jarrett Jack
chosen
Jarrett Jack is an American former NBA point guard known for his playmaking and scoring during a lengthy professional career with multiple teams.
-
B.
Jerramy Stevens
Jerramy Stevens is a former American football tight end who played in the NFL, primarily for the Seattle Seahawks and Tampa Bay Buccaneers.
-
C.
Sean Whalen
Sean Whalen is an American character actor known for his distinctive, often quirky roles in film and television, including horror and cult favorites.
-
D.
Marques Haynes
Marques Haynes was an American basketball player renowned as one of the greatest ball-handlers in history, best known for his dazzling dribbling skills and showmanship.
-
E.
John Jenkins
John Jenkins was a British politician who formerly served as the Member of Parliament for the Reigate constituency in the United Kingdom.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f488248190b9f603cd31c72174 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9377ff4819096971a77e0181eaf |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:35 p.m.