Triple
T12997064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Mock |
E322067
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Janet Mock |
E322067
|
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: Janet Mock | Statement: [Janet Mock, name, Janet Mock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet Mock Context triple: [Janet Mock, name, Janet Mock]
-
A.
Janet Mock
chosen
Janet Mock is an American writer, director, and transgender rights activist known for her influential work in media and storytelling about trans experiences.
-
B.
Laverne Cox
Laverne Cox is an Emmy-nominated American actress and LGBTQ+ advocate best known for her groundbreaking role as Sophia Burset on the Netflix series "Orange Is the New Black."
-
C.
Aja Naomi King
Aja Naomi King is an American actress best known for her role as Michaela Pratt on the television series "How to Get Away with Murder" and for her work in various film and television dramas.
-
D.
Jaina Lee Ortiz
Jaina Lee Ortiz is an American actress best known for her starring role as firefighter Andy Herrera on the television drama series "Station 19."
-
E.
Kellita Smith
Kellita Smith is an American actress and comedian best known for her role as Wanda McCullough on the sitcom "The Bernie Mac Show."
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fe9d608190b9d503f4da1fe0c0 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:45 p.m.