Triple
T12403352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oluremi |
E296316
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Remi |
unclear NED1
|
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: Remi | Statement: [Oluremi, hasShortForm, Remi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Remi Context triple: [Oluremi, hasShortForm, Remi]
-
A.
Remi
The Remi were a Belgic tribe of northeastern Gaul known for allying with Julius Caesar during the Gallic Wars.
-
B.
Tillou
Tillou is a surname associated with individuals such as Emma Middleton Lynah Tillou, and is borne by various people of likely French or Francophone origin.
-
C.
Felix
Felix is a masculine given name of Latin origin meaning "happy" or "fortunate," borne by numerous historical and contemporary figures.
-
D.
Loulou
Loulou is a given name or nickname commonly used in various cultures, often as a diminutive form of names like Louise or Louis.
-
E.
Zibelle
Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d477004819095e65ef6f70c69d9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63484c6808190a71d24f8ee3a7e15 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.