Triple
T1627489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teyana Taylor |
E35179
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Teyana |
E35179
|
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: Teyana | Statement: [Teyana Taylor, givenName, Teyana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teyana Context triple: [Teyana Taylor, givenName, Teyana]
-
A.
Teyana Taylor
chosen
Teyana Taylor is an American singer, songwriter, dancer, choreographer, actress, and director known for her genre-blending R&B music and highly acclaimed visual and live performances.
-
B.
Saweetie
Saweetie is an American rapper and songwriter known for her catchy, confident hip-hop tracks like "ICY GRL" and "My Type."
-
C.
Megan Thee Stallion
Megan Thee Stallion is an American rapper, singer, and songwriter known for her confident, sexually empowered lyrics, dynamic flow, and chart-topping hits like "Savage" and "WAP."
-
D.
Remy Ma
Remy Ma is an American rapper from the Bronx known for her sharp lyricism, prominent role in early-2000s hip-hop, and membership in Fat Joe’s Terror Squad.
-
E.
Zendaya
Zendaya is an American actress and singer best known for her acclaimed, Emmy-winning performance as Rue Bennett in the HBO drama series "Euphoria."
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622ca9bc8190b99e90295cb01646 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6810e09c81909a214d16d865646a |
completed | March 8, 2026, 12:14 p.m. |
Created at: March 4, 2026, 7:28 p.m.