Triple
T1502669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajon Rondo |
E33830
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rajon |
E33829
|
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: Rajon | Statement: [Rajon Rondo, givenName, Rajon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rajon Context triple: [Rajon Rondo, givenName, Rajon]
-
A.
Rajon
chosen
Rajon is the given name of Rajon Rondo, an American former professional basketball point guard best known for his NBA championships with the Boston Celtics and Los Angeles Lakers.
-
B.
Rhegion
Rhegion was an important ancient Greek city located at the southern tip of Italy, strategically positioned on the Strait of Messina.
-
C.
Laja
Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
-
D.
Arausio
Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
-
E.
Rivas
Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8872fae4c81908e7d6961e6c5fa96 |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2945360c8190b20dfdf2f7be4fea |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 4, 2026, 7:24 p.m.