Triple
T30673758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atandwa Kani |
E780858
|
entity |
| Predicate | hasNotableInternationalCareer |
P202052
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Atandwa Kani, hasNotableInternationalCareer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableInternationalCareer Context triple: [Atandwa Kani, hasNotableInternationalCareer, true]
-
A.
hasNotableInternationalRecognition
Indicates that an entity has received significant recognition, awards, or acclaim from international organizations, audiences, or institutions.
-
B.
hasNotableInternationalHit
Indicates that an entity (typically an artist or creator) has produced at least one work that achieved significant popularity or success in multiple countries.
-
C.
playedInternationally
Indicates that an individual has participated in official international-level events or competitions representing a country or equivalent national entity.
-
D.
hasNotableEarlyCareerAppearanceOf
Indicates that an entity features or includes a significant appearance by another entity during the latter’s early career.
-
E.
hasPlayedForNationalTeam
Indicates that an athlete has been a member of and appeared in competition for a specified national team.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a004a8892c08190bcacb952ad737716 |
completed | May 10, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_6a004a44b4948190be4b3dbfce8da020 |
completed | May 10, 2026, 9:05 a.m. |
| PDg | Predicate description generation | batch_6a004a87bb908190a2bd164a60245f1d |
completed | May 10, 2026, 9:06 a.m. |
Created at: April 29, 2026, 8:32 p.m.