Triple
T13331452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tati Gabrielle |
E317582
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tati Gabrielle |
E317582
|
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: Tati Gabrielle | Statement: [Tati Gabrielle, name, Tati Gabrielle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tati Gabrielle Context triple: [Tati Gabrielle, name, Tati Gabrielle]
-
A.
Tati Gabrielle
chosen
Tati Gabrielle is an American actress known for her roles in television series like "Chilling Adventures of Sabrina" and "You" as well as in major films.
-
B.
Tati
"Tati" is a 2018 hip-hop single by American rapper Tekashi 6ix9ine, known for its aggressive style and energetic delivery.
-
C.
Tati
Tati is the endonym used by the Tat people to refer to themselves and their language.
-
D.
Fifi D'Orsay
Fifi D'Orsay was a French-Canadian actress and singer known for her vivacious "French vamp" persona in Hollywood films of the late 1920s and 1930s.
-
E.
Lela Rochon
Lela Rochon is an American actress best known for her breakout role in the 1995 film "Waiting to Exhale" and her work in numerous film and television projects throughout the 1990s.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992fffa0819086610ae3bed2e2f9 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f329e148190a7741344b27ea663 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:30 p.m.