Triple
T4489722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eboni Mills |
E107340
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eboni Mills |
E107340
|
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: Eboni Mills | Statement: [Eboni Mills, name, Eboni Mills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eboni Mills Context triple: [Eboni Mills, name, Eboni Mills]
-
A.
Eboni Mills
chosen
Eboni Mills is known for having been married to RZA, the influential producer and de facto leader of the Wu-Tang Clan.
-
B.
Wanya Morris
Wanya Morris is an American R&B singer best known as a member of the vocal group Boyz II Men.
-
C.
Shante Broadus
Shante Broadus is an American entrepreneur and talent manager best known as the longtime wife and business partner of rapper Snoop Dogg.
-
D.
Keisha Morris
Keisha Morris is an American woman best known for her brief marriage to iconic rapper and actor Tupac Shakur in the mid-1990s.
-
E.
Camille Cosby
Camille Cosby is an American television producer, philanthropist, and business manager best known for her long marriage to comedian Bill Cosby and her behind-the-scenes influence on his career.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556d29f08190bab1e872dd7e819f |
completed | March 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67a90f308190ab4f912cd1e2f692 |
completed | March 20, 2026, 3:28 p.m. |
Created at: March 20, 2026, 12:59 p.m.