Triple
T16310406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Espookys |
E396039
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Tati |
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 | Statement: [Los Espookys, hasMainCharacter, Tati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tati Context triple: [Los Espookys, hasMainCharacter, Tati]
-
A.
Tati
"Tati" is a 2018 hip-hop single by American rapper Tekashi 6ix9ine, known for its aggressive style and energetic delivery.
-
B.
Tati
Tati is the endonym used by the Tat people to refer to themselves and their language.
-
C.
Fernandel
Fernandel was a beloved French comic actor and singer, famed for his expressive face and roles in classic mid-20th-century films such as the Don Camillo series.
-
D.
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.
-
E.
Tatís
Tatís is the surname of the Dominican baseball family that includes MLB star Fernando Tatís Jr.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288da27f88190aa241e3addf9cd7f |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa6ceb48190b937a15b94fd3cfa |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.