Triple
T19453598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRANSform Me |
E486678
|
entity |
| Predicate | featuresCastMember |
P7010
|
FINISHED |
| Object | Jamie Clayton |
—
|
NE NERFINISHED |
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: Jamie Clayton | Statement: [TRANSform Me, featuresCastMember, Jamie Clayton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Clayton Context triple: [TRANSform Me, featuresCastMember, Jamie Clayton]
-
A.
Jamie Clayton
chosen
Jamie Clayton is an American actress and model best known for her role as Nomi Marks in the Netflix science fiction series "Sense8."
-
B.
Emily Barclay
Emily Barclay is a New Zealand-born actress known for her acclaimed performances in independent films and television dramas.
-
C.
Claire Jennings
Claire Jennings is a British film producer known for her work on acclaimed independent and genre films, including the 2017 psychological thriller "Breathe."
-
D.
Amanda Clifton
Amanda Clifton is an American sports executive and advocate best known as the wife of WNBA star Elena Delle Donne and for her work promoting women’s basketball and LGBTQ+ visibility.
-
E.
Caitlin Carver
Caitlin Carver is an American actress and dancer known for her supporting roles in film and television, including the biographical dark comedy "I, Tonya."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.