Triple
T9794756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Living Doll |
E237690
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Mary LaRoche |
E580745
|
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: Mary LaRoche | Statement: [Living Doll, stars, Mary LaRoche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary LaRoche Context triple: [Living Doll, stars, Mary LaRoche]
-
A.
Mary LaRoche
chosen
Mary LaRoche was an American actress and singer known for her work in mid-20th-century film, television, and Broadway productions.
-
B.
Janel Moloney
Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
-
C.
Christine Goad
Christine Goad was the wife of Italian-English novelist and adventure writer Rafael Sabatini.
-
D.
Kelly Roberts
Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
-
E.
Cathryn Carley Franks
Cathryn Carley Franks is the wife of retired U.S. Army General Tommy Franks, who led American and coalition forces during the early years of the Afghanistan and Iraq wars.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de54a30b748190bb791078e9dde442 |
completed | April 14, 2026, 2:52 p.m. |
Created at: March 30, 2026, 8:28 p.m.