Triple
T24149282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Mason |
E598479
|
entity |
| Predicate | AnthonyMasonJr.profession |
P154790
|
FINISHED |
| Object | professional basketball player |
—
|
LITERAL 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: professional basketball player | Statement: [Anthony Mason, AnthonyMasonJr.profession, professional basketball player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AnthonyMasonJr.profession Context triple: [Anthony Mason, AnthonyMasonJr.profession, professional basketball player]
-
A.
Adam Morrison_position
Indicates the playing position or role that Adam Morrison occupies in his sport or team.
-
B.
Adam Morrison_nationality
Indicates the country of which Adam Morrison is a citizen or national.
-
C.
Adam Morrison_team
Indicates that Adam Morrison is or was a member of the specified team.
-
D.
MVPNationality
Indicates that an entity’s nationality is associated with a specific Most Valuable Player (MVP) recognition or context.
-
E.
Andrea Bargnani_position
Indicates the playing position or role that Andrea Bargnani occupies in a sport or game.
- F. None of above. chosen
Provenance (4 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e00d252c8190a02bec29189baad0 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 11:30 p.m.