Triple
T15961997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tania Raymonde |
E387084
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tania |
E345642
|
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: Tania | Statement: [Tania Raymonde, givenName, Tania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tania Context triple: [Tania Raymonde, givenName, Tania]
-
A.
Tania
chosen
Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
-
B.
Tonia
Tonia is a feminine given name, typically used as a short form of Antonia.
-
C.
Tina
Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
-
D.
Tina
Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
-
E.
Tina
Tina is a fictional character portrayed by American actress Idara Victor.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15700651c819091c1cc4f60894c35 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe827d248190adbfd41f55638ebd |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.